On Computing Signatures of k-out-of-n Systems Consisting of Modules

Size: px
Start display at page:

Download "On Computing Signatures of k-out-of-n Systems Consisting of Modules"

Transcription

1 On Computing Signatures of k-out-of-n Systems Consisting of Modules Gaofeng Da Lvyu Xia Taizhong Hu Department of Statistics Finance, School of Management University of Science Technology of China Hefei, Anhui People s Republic of China dagf@ustc.edu.cn thu@ustc.edu.cn January, 2012 Revised September, 2012 Supported by the NNSF of China Nos , ,

2 Abstract In this paper, we study how to compute the signature of a k-out-of-n coherent system consisting of n modules. Formulas for computing the signature the minimal signature of this kind of systems based on those of their modules are derived. Examples are presented to demonstrate the applications of our formulas. The main results obtained in this paper generalize some related ones in recent literature. Mathematics Subject Classifications 2000: 60K10; 90B25 Keywords: Signature; Minimal signature; Module; k-out-of-n system; Reliability

3 1 Introduction The concept of system signature, introduced by Samaniego 1985 for coherent systems with independent identically distributed i.i.d. components, has become a very useful tool in the analysis of system reliability. A monograph for the signature its applications in reliability was written by Samaniego The signature of a coherent system whose n components have i.i.d. lifetimes X 1,..., X n with a common absolutely continuous distribution function, is defined as an n-dimensional probability vector with ith element s i = PT = X i:n, where T denotes the lifetime of the system X 1:n,..., X n:n are the order statistics of the rom sample X 1,..., X n. By means of the signature, the system s reliability function can be represented as PT > t = n s i PX i:n > t, t. 1.1 i=1 In terms of 1.1, the signature was used to evaluate the system reliability or to compare performance of different system structures so on; see, for example, Kochar et al. 1999, Navarro et al. 2005, 2007, 2010, Navarro Eryilmaz 2007, Navarro Rychlik 2007, related references therein. The concept of signature 1.1 have been generalized to non-i.i.d. cases such as systems with exchangeable components Navarro et al., 2008, independent heterogeneous components Navarro et al., 2011 arbitrarily dependent components Marichal Mathonet, 2011; Marichal et al., Analogously to the signature-based representation 1.1, Navarro et al proved that the reliability function of a coherent system with exchangeable components can be alternatively written as PT > t = n α i PX 1:i > t, t. i=1 The vector of coefficients α = α 1,..., α n, which depends only on the system structure, is called minimal signature. Although some of the elements of α may be negative, it is noteworthy that the vector satisfies the constraint n i=1 α i = 1. For details of the minimal signature its applications in theory of reliability, one may refer to Navarro Rychlik 2010, Eryilmaz 2010, Navarro et al. 2011, related references therein. It is known that the computation of signatures is not simple especially when a system has a large number of components. Triantafyllou Koutras 2008 provided formulas that facilitate the evaluation of the signature of a reliability structure by a generating function approach, while Eryilmaz 2010 developed some interesting expressions for the computation of minimal maximal signatures of a coherent system consisting of exchangeable components. Usually, the 1

4 signature of a system with n i.i.d. components can be computed by making use of the ratio s i = a i /n!, where a i is the number of orderings of failure times of all components for which ith failure causes the system failure, i = 1,..., n. It seems that in this expression we need to identify every ordering of failure times of all components in order to determine the signature vector of the system. Another useful expression for s i introduced by Bol 2001 is given by s i = a n i+1 n a n i n, i = 1,..., n, 1.2 where a i n = r in, i = 1,..., n, n i r i n is the number of path sets of size i of the system, a i n represents the proportion of component subsets of size i which are path sets for the system. From 1.2, it follows that r i n = n n s j, i = 1,..., n. 1.3 i j=n i+1 The expression in 1.2 is based on counting the number of path sets of systems. Recently, Da et al considered the computation of the signature of a coherent system consisting of two subsystems modules based on signatures of its modules, derived two basic formulas for computing the signatures of series parallel structures with two modules respectively, which facilitate the computation of the signatures of some systems with a large number of components. Eryilmaz 2012 reconsidered the above problem exploited expression 1.2 to derive formulas with alternative forms obtained a similar formula for computing the minimal signature of the overall system as well. Gertsbakh et al calculated the signature of a system with an arbitrary organizing subsystem identical modules, they presented signatures of the series parallel of two arbitrary subsystems, independently of Da et al Eryilmaz As an extension of series parallel systems, k-out-of-n systems are well-known models have been studied quite extensively in reliability theory, life testing, statistical inference many other areas. A k-out-of-n system works if only if at least k of the n components work hence its lifetime is actually n k + 1th order statistic of lifetimes of the n components. Clearly, k = n k = 1 correspond to the series parallel systems, respectively. One may refer to Kuo Zuo 2003 for a comprehensive discussion on k-out-of-n systems. In the present paper, we consider the computation of the signature of a k-out-of-n coherent system consisting of n modules. Let C, φ denote a coherent system with the index set of 2

5 components C the structure function φ. Consider a modular decomposition of the system with the set of disjoint modules {C 1, χ 1,..., C n, χ n } the organizing structure ψ, where C i χ i are respectively the index set of components the structure function of module i, i = 1,..., n. One may refer to Barlow Proschan 1981, Chapter 1 for definitions of the notions above. Throughout this paper, we assume that ψ is the structure function of a k-out-of-n system. We will derive a formula for computing the signature of the overall system C, φ based on given signatures of its modules. As in Erylimaz 2012, we first determine the number of path sets of the overall system in terms of the numbers of path sets of its all modules, then combine this result with to obtain the desired formula. Furthermore, a similar formula for computing the minimal signature of overall system is also derived. The main results are given in Section 2. In Section 3, several examples are given to demonstrate how to use our formulas to compute the signature the minimal signature of a system. In what follows, the system C, φ is called overall system the module C i, χ i is called module i for short, i = 1,..., n. 2 Main Results In this section we derive formulas for computing the signature the minimal signature of the overall system C, φ based on given signatures minimal signatures of its modules, respectively. Suppose that module i of the overall system has m i components, i.e. C i = m i, i = 1,..., n, C = n i=1 m i. In order to obtain simple formulas for the signature of the overall system, we should observe the following facts. Let d min,i k min,i be the minimum numbers of failed components that may cause failure of module i of working components that guarantee the functioning of module i, respectively; that is, m i k min,i + 1 is the maximum number of sizes of minimal cut sets of module i k min,i is the minimum of sizes of minimal path sets of module i. Then, for the signature p i = p i,1,..., p i,mi of module i, we have p i,j = 0 for j < d min,i or j > m i k min,i + 1. Denote by d 1 min d2 min... dn min k1 min k2 min... kn min the ordered sequences of {d min,1,..., d min,n } {k min,1,..., k min,n }, respectively. Based on the definition of a k-out-of-n system, it follows that the minimum number of failed 3

6 components that may cause failure of the overall system is n k+1 d min = min d min,πi = π P n i=1 n k+1 i=1 d i min, 2.1 where π = π 1,..., π n P n, the permutation group of Λ = {1, 2,..., n}. Similarly, the minimum number of working components that assures the operation of the overall system is k min = min π P n k k min,πi = i=1 k i=1 k i min. 2.2 So the signature of the overall system C, φ has the following form s = 0,..., 0, s dmin,..., s C kmin +1, 0,..., To compute the signature of the overall system, as in Eryilmaz 2012, the key problem is to determine the number of path sets of size i of the overall system in terms of the number of path sets of the n modules. For this purpose, we first derive the formulas for determining the number of path sets cut sets of size i of the overall system with the series parallel organizing structure in the following lemma. For each j, denote by r i C j the number of path sets of size i of module j, while r i C j = mj i r i C j represents the number of sets of size i whose complements in C j are cut sets of module j. Lemma 2.1. i The number of path sets of size i of a system consisting of modules j J in the series structure is where I J i = A J i = τ = τ j, j J : τ A J i r τj C j ; 2.4 j J τ j = i, τ j k min,j, j J. ii For a system consisting of modules j J in the parallel structure, the number of sets of size i with their complements being cut sets of the system is ξ J i = j J τ B J i j J r τj C j ; 2.5 where B J i = τ = τ j, j J : τ j = i, m j τ j d min,j, j J. j J 4

7 Proof. First observe that the overall system works if only if all modules j J work. Thus, for a path set of size i of the overall system, each of modules works its i working components include τ j working ones from module j such that τ j k min,j, j J, j J τ j = i. The proof of the parallel case is similar. Now we present the formula for the number of path sets of size i of the overall system in terms of the number of path sets of the n modules. Some notations are as follows. For each J Λ, J c = Λ\J represents the complement of J in Λ. Define m J = j J m j kmin J = j J k min,j for each J Λ. Theorem 2.2. Let r i C denote the number of path sets of size i of the overall k-out-of-n system with node i being module i for each i Λ. Then r i C = M i l=k J Λ, J =l min{i,m J } u=max{k J min,i m J c } I J u ξ J ci u 2.6 for i k j=1 kj min, where I J ξ J are defined by , respectively, m M i = sup m : k j min i, m Λ. j=1 Proof. According to the definition of the k-out-of-n system, the overall system works if only if at least k of its n modules work. Then, for a path set of size i i k j=1 kj min ; otherwise there are not k working modules of the overall system, it ensures that the i working components lead to at least k at most M i modules work. Thus, we have M i r i C = Q l, 2.7 where Q l denotes the cardinality of set Q l, Q l is the set of path sets of size i of the overall l=k system which lead to exactly l modules work. Observe that Q l = J Λ, J =l Q J, 2.8 where Q J is the subset of Q l, all components in Q J working will lead to modules j J function while the rest of modules don t function. We can further divide Q J according to the number of working components in modules j J which leads to modules j J function. So Q J = min{i,m J } where Q J u is the subset of Q J satisfying that u=max{k J min,i m J c } Q J u, 2.9 5

8 1 u of i working components are from modules j J these modules work; 2 i u of i working components are from the rest of modules, j J c, these modules don t work. Thus, the number of path sets of size i of the overall system satisfying the above conditions is just the product of the number of path sets of size u of the system consisting of modules j J in the series structure the number of sets of size i u with their complements being cut sets of the system consisting of modules j J c in the parallel structure. From Lemma 2.1, it follows that Combining , we conclude 2.6. Q J u = I J u ξ J ci u Combining Theorem 2.2 with 1.2, , we can obtain the formula for computing the signature of the overall system in terms of the signatures of its modules. p i = p i,1,..., p i,mi be the signature of module i for i Λ. Corollary 2.3. The ith element of the signature vector s = s 1,..., s C of the overall system is given by s i = r C i+1c r C ic C C i 1 i for i = d min,..., C k min + 1, s i = 0 otherwise, where r i C is defined in 2.6 with for i C j j Λ. r i C j = mj i m j k=m j i+1 Next we establish a formula for computing the minimal signature of the overall system based on the minimal signatures of its modules. In order to obtain the aforementioned result, the following lemma, which states the relationship between the minimal signature the number of path sets of size i of a coherent system, will be proved useful in the sequel Eryilmaz, 2012; Samaniego, Lemma 2.4. Let α 1,..., α n be the minimal signature of a coherent system of order n p j,k r i n be the number of path sets of size i of this system. Then α i = n k min l=n i l 1 i+l n r n l n n i 6 Let

9 for i k min α i = 0 for i < k min ; r i n = i j=k min n j α j i j for i k min, where k min is the minimum number of sizes of path sets of the coherent system. By Theorem 2.2 Lemma 2.4, the formula for the computation of the minimal signature of the overall system can be obtained immediately. Corollary 2.5. Let α j = α j,1,..., α j,mj be the minimal signature of module j for each j Λ. Then the ith element of the minimal signature vector α = α 1,..., α C of the overall system is given by α i = C k min l= C i l 1 i+l C r C i C l C for i k min α i = 0 for i < k min, where k min r i C are given by , respectively, with for i C j j Λ. 3 Examples r i C j = i l=k min,j mj l α j,l i l Four examples are presented in this section to demonstrate the applications of our formulas proved in the previous section. Example 3.1. Consider the overall system C, φ consisting of three modules with respective structure functions given by χ 1 x 1, x 2, x 3 = max{min{x 1, x 2 }, min{x 2, x 3 }}, χ 2 x 4, x 5, x 6, x 7 = max{min{x 4, x 5 }, min{x 5, x 6 }, min{x 6, x 7 }} χ 3 x 8, x 9, x 10, x 11, x 12 = max{min{x 8, x 9, x 10 }, min{x 9, x 10, x 11 }, min{x 10, x 11, x 12 }}. Here, χ 1, χ 2 χ 3 are linear consecutive 2-out-of-3:G, 2-out-of-4:G 3-out-of-5:G systems, respectively. A linear [circular] consecutive k-out-of-n:g system consists of n linearly [circularly] 7

10 ordered components such that the system functions if only if at least k consecutive components function see Chiang Niu, The signatures minimal signatures of these modules are respectively given by 1 p 1 = 3, 2 3, 0, α 1 = 0, 2, 1, p 2 = 0, 12, 12, 0, α 2 = 0, 3, 2, 0 It is easy to see that p 3 = 1 5, 1 2, 3 10, 0, 0, α 3 = 0, 0, 3, 2, 0. k min,1 = 2, d min,1 = 1, k min,2 = 2, d min,2 = 2, k min,3 = 3, d min,3 = 1. Eryilmaz 2012 computed the signatures the minimal signatures for the overall systems of these three modules with series parallel organizing structures respectively. Here we compute the signature the minimal signature of the overall system consisting of the three modules with 2-out-of-3 organizing structure. From the given signatures or the minimal signatures of the modules, it follows that the vectors of the number of path sets the number of the sets with their complements being cut sets of the modules are given by rc 1 = 0, 2, 1, rc 1 = 3, 1, 0, rc 2 = 0, 3, 4, 1, rc 2 = 4, 3, 0, 0 rc 3 = 0, 0, 3, 4, 1, rc 3 = 5, 10, 7, 1, 0, respectively. By the formulas proved in the previous section, the vector of the numbers of path sets, the signature the minimal signature vectors of the overall system can be computed as s = r = 0, 0, 0, 6, 56, 207, 372, 361, 200, 65, 12, 1, 1 0, 66, 5 66, , , , , , 6, 0, 0, α = 0, 0, 0, 6, 8, 17, 30, 66, 40, 8, 0, 0. 8

11 Example 3.2. Consider the overall system C, φ consisting of 3 modules with structure functions given by χ 1 x 1 = x 1, χ 2 x 2, x 3 = max{x 2, x 3 } χ 3 x 4, x 5 = min{x 4, x 5 }, respectively. Then the signatures minimal signatures of the three modules are respectively given by p 1 = 1, α 1 = 1; p 2 = 0, 1, α 2 = 2, 1; p 3 = 1, 0, α 3 = 0, 1. By conducting a computer program based on the formulas proved in the previous section R codes can be downloaded from dagf/signature.r, we can easily obtain the vector of the number of path sets r, the signature vector s, the minimal signature vector α of the overall system with i-out-of-3 organizing structure φ, i = 1, 2. For 1-out-of-3 structure φ, we have r = 3, 10, 10, 5, 1 s = 0, 0, 0, 2 5, 3, α = 3, 2, 2, 3, 1. 5 For 2-out-of-3 structure φ, we have r = 0, 2, 8, 5, 1 1 s = 0, 5, 3 5, 1 5, 0, α = 0, 2, 2, 5, 2. Navarro Rubio 2010 computed the signatures of all the coherent systems with five components, summarized these results into a table. Here we compute the signatures the minimal signatures of the overall system consisting of the three modules with 1-out-of-3 2- out-of-3 organizing structures, which coincide with the 5-order coherent system #179 #90 in Table 2 in Navarro Rubio 2010, respectively. Example 3.3. Consider the overall system consisting of four modules with respective structure functions χ 1 x 1,..., x 8 = maxminmaxx 1, x 5, maxx 2, x 6, minmaxx 2, x 6, maxx 3, x 7, minmaxx 3, x 7, maxx 4, x 8, χ 2 x 9,..., x 13 = maxminx 9, x 10, x 11, minx 10, x 11, x 12, minx 11, x 12, x 13, minx 12, x 13, x 9, minx 13, x 9, x 10, χ 3 x 14,..., x 18 = maxminx 14, x 15, minx 16, x 17, minx 14, x 16, x 18, minx 15, x 17, x 18 χ 4 x 19,..., x 22 = maxminx 19, x 20, minx 20, x 21, minx 21, x 22. Here, χ 1 is a linear consecutive 2-out-of-4:G system with componentwise redundancy, χ 2 is a circular consecutive 3-out-of-5:G system, χ 3 is a bridge system, χ 4 is a linear consecutive 9

12 2-out-of-4:G system. The signatures minimal signatures of the four modules are respectively given by p 1 = 0, 0, 0, p 3 = 0, 3 70, 6 35, 5 14, 3 1 5, 3 5, 1 5, 0 7, 0, p 2 =, p 4 = 0, 0, 1 2, 1 2, 0, 0, 1 2, 1 2, 0 α 1 = 0, 12, 28, 27, 12, 2, 0, 0, α 2 = 0, 0, 5, 5, 1, α 3 = 0, 2, 2, 5, 2, α 4 = 0, 3, 2, 0. By conducting a computer program based on the formulas from previous section R codes can be downloaded from dagf/signature.r, we can easily obtain the vector of the number of path sets, the signature vector the minimal signature vector of the overall system consisting of the four modules with 2-out-of-4 organizing structure as follows r = 0, 0, 0, 66, 1135, 8884, 41655, , , , , s = , , , , 74583, 26334, 7315, 1540, 231, 22, , 0, 0, 0, 0, 24871, , , , , , , , , , , , , 6, 0, 0, α = 0, 0, 0, 66, 53, 313, 15, 1911, 2208, 1616, 1938, 9434, 24581, 28481, 19665, 8590, 2334, 360, 24, 0, 0, 0. Example 3.4. It is known that the signature of the bridge system is p = 0, 1/5, 3/5, 1/5, 0. Now we consider the overall system consisting of three bridge modules with 2-out-of-3 organizing structure. By using the same code in the preceding examples R codes can be downloaded from dagf/signature.r, we can easily compute the vector of the number of path sets, the signature vector the minimal signature vector of the overall system as follows r = 0, 0, 0, 12, 156, 836, 2400, 4035, 4169, 2847, 1353, 455, 105, 15, 1 4 s = 0, 0, 0, 455, , , , , , , , 4 0, 0, α = 0, 0, 0, 12, 24, 64, 84, 171, 116, 264, 108, 442, 348, 120,

13 References [1] Barlow, R.E. Proschan, F Statistical Theorey of Reliability Life Testing: Probability Models. Silver Spring, Maryl: To Begin With. [2] Bol, P.J Signatures of indirect majority systems. Journal of Applied Probability, 38, [3] Chiang, D.T. Niu, S.C Reliability of consecutive k-out-of-n:f systems. IEEE Transactions on Reliability, R30, [4] Da, G., Zheng, B. Hu, T On computing signatures of coherent systems. Journal of Multivariate Analysis, 103, [5] Eryilmaz, S Mixture representations for the reliability of consecutive-k systems. Mathematical Computer Modelling, 51, [6] Eryilmaz, S On signatures of series parallel systems consisting of modules with arbitrary structures. Technical Report, Department of Mathematics, Izmir University of Economics, Turkey. [7] Gertsbakh, I., Shpungin, Y. Spizzichino, F Signatures of coherent systems built with separate modules. Journal of Applied Probability, 48, [8] Kochar, S., Mukerjee, H. Samaniego, F.J The signature of a coherent system its application to comparison among systems. Naval Research Logistics, 46, [9] Kuo, W. Zuo, M.J Optimal Reliability Modeling, Principles Applications. New York: Wiley. [10] Marichal, J-L. Mathonet, P Extensions of system signatures to dependent lifetimes: Explicit expressions interpretations. Journal of Multivariate Analysis, 102, [11] Marichal, J-L., Mathonet, P. Waldhauser, T On signature-based expressions of system reliability. Journal of Multivariate Analysis, 102, [12] Navarro, J. Eryilmaz, S Mean residual lifetimes of consecutive k-out-of-n systems. Journal of Applied Probability, 44,

14 [13] Navarro, J. Rubio, R Computation of signatures of coherent systems with five components. Communications in Statistics Simulation Computation, 39, [14] Navarro, J., Ruiz, J.M. Soval, C.J A note on comparisons among coherent systems with dependent components using signatures. Statistics Probability Letters, 72, [15] Navarro, J., Ruiz, J.M. Soval, C.J Properties of coherent systems with dependent components. Communications in Statistics Theory Methods, 36, [16] Navarro, J. Rychlik, T Reliability expectation bounds for coherent systems with exchangeable components. Journal of Multivariate Analysis, 98, [17] Navarro, J. Rychlik, T Comparisons bounds for expected lifetimes of reliability systems. European Journal of Operational Research, 207, [18] Navarro, J., Samaniego, F.J. Balakrishnan, N The joint signature of coherent systems with shared components. Journal of Applied Probability, 47, [19] Navarro, J., Samaniego, F.J. Balakrishnan, N Signature-based representations for the reliability of systems with heterogeneous components. Journal of Applied Probability, 48, [20] Navarro, J., Samaniego, F.J., Balakrishnan, N. Bhattacharya, D On the application extension of system signatures in engineering reliability. Naval Research Logistics, 55, [21] Samaniego, F.J On closure of the IFR class under formation of coherent systems. IEEE Transactions on Reliability, R-34, [22] Samaniego, F.J System Signatures Their Applications in Engineering Reliability. New York: Springer. [23] Triantafyllou, I.S. Koutras, M.V On the signature of coherent systems applications. Probability in the Engineering Informational Sciences, 22,

Reliability of Coherent Systems with Dependent Component Lifetimes

Reliability of Coherent Systems with Dependent Component Lifetimes Reliability of Coherent Systems with Dependent Component Lifetimes M. Burkschat Abstract In reliability theory, coherent systems represent a classical framework for describing the structure of technical

More information

Probability signatures of multistate systems made up of two-state components

Probability signatures of multistate systems made up of two-state components Probability signatures of multistate systems made up of two-state components J.-L. Marichal, P. Mathonet, J. Navarro, C. Paroissin Mathematics Research Unit, FSTC, University of Luxembourg, Luxembourg

More information

Bounds for reliability of IFRA coherent systems using signatures

Bounds for reliability of IFRA coherent systems using signatures isid/ms/2011/17 September 12, 2011 http://www.isid.ac.in/ statmath/eprints Bounds for reliability of IFRA coherent systems using signatures Jayant V. Deshpande Isha Dewan Indian Statistical Institute,

More information

Reliability analysis of systems and lattice polynomial description

Reliability analysis of systems and lattice polynomial description Reliability analysis of systems and lattice polynomial description Jean-Luc Marichal University of Luxembourg Luxembourg A basic reference Selected references R. E. Barlow and F. Proschan. Statistical

More information

Structure functions and minimal path sets

Structure functions and minimal path sets Structure functions and minimal path sets Jean-Luc Marichal Revised version, September 30, 05 Abstract In this short note we give and discuss a general multilinear expression of the structure function

More information

ON DISTRIBUTIONS OF ORDER STATISTICS FOR ABSOLUTELY CONTINUOUS COPULAS WITH APPLICATIONS TO RELIABILITY

ON DISTRIBUTIONS OF ORDER STATISTICS FOR ABSOLUTELY CONTINUOUS COPULAS WITH APPLICATIONS TO RELIABILITY K Y B E R N E T I K A V O L U M E 4 4 2 0 0 8 ), N U M B E R 6, P A G E S 7 5 7 7 7 6 ON DISTRIBUTIONS OF ORDER STATISTICS FOR ABSOLUTELY CONTINUOUS COPULAS WITH APPLICATIONS TO RELIABILITY Piotr Jaworski

More information

Parametric and Topological Inference for Masked System Lifetime Data

Parametric and Topological Inference for Masked System Lifetime Data Parametric and for Masked System Lifetime Data Rang Louis J M Aslett and Simon P Wilson Trinity College Dublin 9 th July 2013 Structural Reliability Theory Interest lies in the reliability of systems composed

More information

Stochastic Comparisons of Weighted Sums of Arrangement Increasing Random Variables

Stochastic Comparisons of Weighted Sums of Arrangement Increasing Random Variables Portland State University PDXScholar Mathematics and Statistics Faculty Publications and Presentations Fariborz Maseeh Department of Mathematics and Statistics 4-7-2015 Stochastic Comparisons of Weighted

More information

Anew index of component importance

Anew index of component importance Operations Research Letters 28 (2001) 75 79 www.elsevier.com/locate/dsw Anew index of component importance F.K. Hwang 1 Department of Applied Mathematics, National Chiao-Tung University, Hsin-Chu, Taiwan

More information

314 IEEE TRANSACTIONS ON RELIABILITY, VOL. 55, NO. 2, JUNE 2006

314 IEEE TRANSACTIONS ON RELIABILITY, VOL. 55, NO. 2, JUNE 2006 314 IEEE TRANSACTIONS ON RELIABILITY, VOL 55, NO 2, JUNE 2006 The Mean Residual Life Function of a k-out-of-n Structure at the System Level Majid Asadi and Ismihan Bayramoglu Abstract In the study of the

More information

Statistics and Probability Letters

Statistics and Probability Letters tatistics Probability Letters 80 200) 473 479 Contents lists available at ciencedirect tatistics Probability Letters journal homepage: www.elsevier.com/locate/stapro On the relationships between copulas

More information

Comparisons of series and parallel systems with components sharing the same copula

Comparisons of series and parallel systems with components sharing the same copula APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY Appl. Stochastic Models Bus. Ind. (2009) Published online in Wiley InterScience (www.interscience.wiley.com)..819 Comparisons of series and parallel systems

More information

Politecnico di Torino. Porto Institutional Repository

Politecnico di Torino. Porto Institutional Repository Politecnico di Torino Porto Institutional Repository [Article] On preservation of ageing under minimum for dependent random lifetimes Original Citation: Pellerey F.; Zalzadeh S. (204). On preservation

More information

Bayesian Inference for Reliability of Systems and Networks using the Survival Signature

Bayesian Inference for Reliability of Systems and Networks using the Survival Signature Bayesian Inference for Reliability of Systems and Networks using the Survival Signature Louis J. M. Aslett, Frank P. A. Coolen and Simon P. Wilson University of Oxford, Durham University, Trinity College

More information

Some New Results on Information Properties of Mixture Distributions

Some New Results on Information Properties of Mixture Distributions Filomat 31:13 (2017), 4225 4230 https://doi.org/10.2298/fil1713225t Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Some New Results

More information

Background on Coherent Systems

Background on Coherent Systems 2 Background on Coherent Systems 2.1 Basic Ideas We will use the term system quite freely and regularly, even though it will remain an undefined term throughout this monograph. As we all have some experience

More information

A Note on Closure Properties of Classes of Discrete Lifetime Distributions

A Note on Closure Properties of Classes of Discrete Lifetime Distributions International Journal of Statistics and Probability; Vol. 2, No. 2; 201 ISSN 1927-702 E-ISSN 1927-700 Published by Canadian Center of Science and Education A Note on Closure Properties of Classes of Discrete

More information

arxiv: v1 [stat.ot] 30 Jul 2017

arxiv: v1 [stat.ot] 30 Jul 2017 arxiv:1708.07059v1 [stat.ot] 30 Jul 2017 Redundancy schemes for engineering coherent systems via a signature-based approach Mahdi Doostparast Department of Statistics, Faculty of Mathematical Sciences,

More information

RISK- AND RELIABILITY ANALYSIS WITH APPLICATIONS

RISK- AND RELIABILITY ANALYSIS WITH APPLICATIONS RISK- AND RELIABILITY ANALYSIS WITH APPLICATIONS by ARNE BANG HUSEBY and KRISTINA ROGNLIEN DAHL Department of Mathematics Faculty of Mathematics and Natural Sciences University of Oslo ii iii Abstract

More information

Coherent Systems of Components with Multivariate Phase Type Life Distributions

Coherent Systems of Components with Multivariate Phase Type Life Distributions !#"%$ & ' ")( * +!-,#. /10 24353768:9 ;=A@CBD@CEGF4HJI?HKFL@CM H < N OPc_dHe@ F]IfR@ ZgWhNe@ iqwjhkf]bjwlkyaf]w

More information

Network Reliability: A Fresh Look at Some Basic Questions

Network Reliability: A Fresh Look at Some Basic Questions Network Reliability: A Fresh Look at Some Basic Questions Michael P. McAssey Vrije Universiteit Amsterdam and Francisco J. Samaniego University of California, Davis Abstract In this paper, the general

More information

System reliability using the survival signature

System reliability using the survival signature System reliability using the survival signature Frank Coolen GDRR Ireland 8-10 July 2013 (GDRR 2013) Survival signature 1 / 31 Joint work with: Tahani Coolen-Maturi (Durham University) Ahmad Aboalkhair

More information

SYSTEM RELIABILITY AND WEIGHTED LATTICE POLYNOMIALS

SYSTEM RELIABILITY AND WEIGHTED LATTICE POLYNOMIALS SYSTEM RELIABILITY AND WEIGHTED LATTICE POLYNOMIALS arxiv:0712.0707v2 [math.pr] 28 May 2008 Alexander Dukhovny Mathematics Department, San Francisco State University San Francisco, CA 94132, USA dukhovny[at]math.sfsu.edu

More information

On the relationships between copulas of order statistics and marginal distributions

On the relationships between copulas of order statistics and marginal distributions On the relationships between copulas of order statistics marginal distributions Jorge Navarro, Fabio pizzichino To cite this version: Jorge Navarro, Fabio pizzichino. On the relationships between copulas

More information

Isomorphisms between pattern classes

Isomorphisms between pattern classes Journal of Combinatorics olume 0, Number 0, 1 8, 0000 Isomorphisms between pattern classes M. H. Albert, M. D. Atkinson and Anders Claesson Isomorphisms φ : A B between pattern classes are considered.

More information

Hybrid Censoring; An Introduction 2

Hybrid Censoring; An Introduction 2 Hybrid Censoring; An Introduction 2 Debasis Kundu Department of Mathematics & Statistics Indian Institute of Technology Kanpur 23-rd November, 2010 2 This is a joint work with N. Balakrishnan Debasis Kundu

More information

General Franklin systems as bases in H 1 [0, 1]

General Franklin systems as bases in H 1 [0, 1] STUDIA MATHEMATICA 67 (3) (2005) General Franklin systems as bases in H [0, ] by Gegham G. Gevorkyan (Yerevan) and Anna Kamont (Sopot) Abstract. By a general Franklin system corresponding to a dense sequence

More information

On Characteristic Properties of the Uniform Distribution

On Characteristic Properties of the Uniform Distribution Sankhyā : The Indian Journal of Statistics 25, Volume 67, Part 4, pp 715-721 c 25, Indian Statistical Institute On Characteristic Properties of the Uniform Distribution G. Arslan Başkent University, Turkey

More information

Reliability of A Generalized Two-dimension System

Reliability of A Generalized Two-dimension System 2011 International Conference on Information Management and Engineering (ICIME 2011) IPCSIT vol. 52 (2012) (2012) IACSIT Press, Singapore DOI: 10.7763/IPCSIT.2012.V52.81 Reliability of A Generalized Two-dimension

More information

MULTIVARIATE DISCRETE PHASE-TYPE DISTRIBUTIONS

MULTIVARIATE DISCRETE PHASE-TYPE DISTRIBUTIONS MULTIVARIATE DISCRETE PHASE-TYPE DISTRIBUTIONS By MATTHEW GOFF A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY WASHINGTON STATE UNIVERSITY Department

More information

Generalized Reliability Bounds for Coherent Structures

Generalized Reliability Bounds for Coherent Structures Generalized Reliability Bounds for Coherent Structures MichaelV.Boutsikas and Markos V. Koutras Department of Mathematics, University of Athens, Greece 15784 Abstract In this article we introduce generalizations

More information

Reliability Analysis in Uncertain Random System

Reliability Analysis in Uncertain Random System Reliability Analysis in Uncertain Random System Meilin Wen a,b, Rui Kang b a State Key Laboratory of Virtual Reality Technology and Systems b School of Reliability and Systems Engineering Beihang University,

More information

Preservation of Classes of Discrete Distributions Under Reliability Operations

Preservation of Classes of Discrete Distributions Under Reliability Operations Journal of Statistical Theory and Applications, Vol. 12, No. 1 (May 2013), 1-10 Preservation of Classes of Discrete Distributions Under Reliability Operations I. Elbatal 1 and M. Ahsanullah 2 1 Institute

More information

On the Convolution Order with Reliability Applications

On the Convolution Order with Reliability Applications Applied Mathematical Sciences, Vol. 3, 2009, no. 16, 767-778 On the Convolution Order with Reliability Applications A. Alzaid and M. Kayid King Saud University, College of Science Dept. of Statistics and

More information

Representing Independence Models with Elementary Triplets

Representing Independence Models with Elementary Triplets Representing Independence Models with Elementary Triplets Jose M. Peña ADIT, IDA, Linköping University, Sweden jose.m.pena@liu.se Abstract An elementary triplet in an independence model represents a conditional

More information

Intrinsic products and factorizations of matrices

Intrinsic products and factorizations of matrices Available online at www.sciencedirect.com Linear Algebra and its Applications 428 (2008) 5 3 www.elsevier.com/locate/laa Intrinsic products and factorizations of matrices Miroslav Fiedler Academy of Sciences

More information

Invertible Matrices over Idempotent Semirings

Invertible Matrices over Idempotent Semirings Chamchuri Journal of Mathematics Volume 1(2009) Number 2, 55 61 http://www.math.sc.chula.ac.th/cjm Invertible Matrices over Idempotent Semirings W. Mora, A. Wasanawichit and Y. Kemprasit Received 28 Sep

More information

P i [B k ] = lim. n=1 p(n) ii <. n=1. V i :=

P i [B k ] = lim. n=1 p(n) ii <. n=1. V i := 2.7. Recurrence and transience Consider a Markov chain {X n : n N 0 } on state space E with transition matrix P. Definition 2.7.1. A state i E is called recurrent if P i [X n = i for infinitely many n]

More information

Exact Inference for the Two-Parameter Exponential Distribution Under Type-II Hybrid Censoring

Exact Inference for the Two-Parameter Exponential Distribution Under Type-II Hybrid Censoring Exact Inference for the Two-Parameter Exponential Distribution Under Type-II Hybrid Censoring A. Ganguly, S. Mitra, D. Samanta, D. Kundu,2 Abstract Epstein [9] introduced the Type-I hybrid censoring scheme

More information

arxiv: v1 [math.co] 8 Feb 2014

arxiv: v1 [math.co] 8 Feb 2014 COMBINATORIAL STUDY OF THE DELLAC CONFIGURATIONS AND THE q-extended NORMALIZED MEDIAN GENOCCHI NUMBERS ANGE BIGENI arxiv:1402.1827v1 [math.co] 8 Feb 2014 Abstract. In two recent papers (Mathematical Research

More information

Lecture 4: Numerical solution of ordinary differential equations

Lecture 4: Numerical solution of ordinary differential equations Lecture 4: Numerical solution of ordinary differential equations Department of Mathematics, ETH Zürich General explicit one-step method: Consistency; Stability; Convergence. High-order methods: Taylor

More information

RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS

RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS www.arpapre.com/volume/vol29iue1/ijrras_29_1_01.pdf RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS Sevcan Demir Atalay 1,* & Özge Elmataş Gültekin

More information

Tail Dependence of Multivariate Pareto Distributions

Tail Dependence of Multivariate Pareto Distributions !#"%$ & ' ") * +!-,#. /10 243537698:6 ;=@?A BCDBFEHGIBJEHKLB MONQP RS?UTV=XW>YZ=eda gihjlknmcoqprj stmfovuxw yy z {} ~ ƒ }ˆŠ ~Œ~Ž f ˆ ` š œžÿ~ ~Ÿ œ } ƒ œ ˆŠ~ œ

More information

Some Recent Results on Stochastic Comparisons and Dependence among Order Statistics in the Case of PHR Model

Some Recent Results on Stochastic Comparisons and Dependence among Order Statistics in the Case of PHR Model Portland State University PDXScholar Mathematics and Statistics Faculty Publications and Presentations Fariborz Maseeh Department of Mathematics and Statistics 1-1-2007 Some Recent Results on Stochastic

More information

Cut-Set Bound and Dependence Balance Bound

Cut-Set Bound and Dependence Balance Bound Cut-Set Bound and Dependence Balance Bound Lei Xiao lxiao@nd.edu 1 Date: 4 October, 2006 Reading: Elements of information theory by Cover and Thomas [1, Section 14.10], and the paper by Hekstra and Willems

More information

Asymptotic efficiency of simple decisions for the compound decision problem

Asymptotic efficiency of simple decisions for the compound decision problem Asymptotic efficiency of simple decisions for the compound decision problem Eitan Greenshtein and Ya acov Ritov Department of Statistical Sciences Duke University Durham, NC 27708-0251, USA e-mail: eitan.greenshtein@gmail.com

More information

OPPORTUNISTIC MAINTENANCE FOR MULTI-COMPONENT SHOCK MODELS

OPPORTUNISTIC MAINTENANCE FOR MULTI-COMPONENT SHOCK MODELS !#"%$ & '("*) +,!.-#/ 021 354648729;:=< >@?A?CBEDGFIHKJMLONPFQLR S TELUJVFXWYJZTEJZR[W6\]BED S H_^`FILbadc6BEe?fBEJgWPJVF hmijbkrdl S BkmnWP^oN prqtsouwvgxyczpq {v~} {qƒ zgv prq ˆŠ @Œk Šs Ž Žw š œ š Ÿž

More information

ARTICLE IN PRESS Discrete Applied Mathematics ( )

ARTICLE IN PRESS Discrete Applied Mathematics ( ) Discrete Applied Mathematics ( ) Contents lists available at ScienceDirect Discrete Applied Mathematics journal homepage: www.elsevier.com/locate/dam Forwarding index of cube-connected cycles Jun Yan a,

More information

Stochastic Comparisons of Order Statistics from Generalized Normal Distributions

Stochastic Comparisons of Order Statistics from Generalized Normal Distributions A^VÇÚO 1 33 ò 1 6 Ï 2017 c 12 Chinese Journal of Applied Probability and Statistics Dec. 2017 Vol. 33 No. 6 pp. 591-607 doi: 10.3969/j.issn.1001-4268.2017.06.004 Stochastic Comparisons of Order Statistics

More information

A Criterion for the Stochasticity of Matrices with Specified Order Relations

A Criterion for the Stochasticity of Matrices with Specified Order Relations Rend. Istit. Mat. Univ. Trieste Vol. XL, 55 64 (2009) A Criterion for the Stochasticity of Matrices with Specified Order Relations Luca Bortolussi and Andrea Sgarro Abstract. We tackle the following problem:

More information

Probabilistic Systems Analysis Spring 2018 Lecture 6. Random Variables: Probability Mass Function and Expectation

Probabilistic Systems Analysis Spring 2018 Lecture 6. Random Variables: Probability Mass Function and Expectation EE 178 Probabilistic Systems Analysis Spring 2018 Lecture 6 Random Variables: Probability Mass Function and Expectation Probability Mass Function When we introduce the basic probability model in Note 1,

More information

Reliability Analysis of Tampered Failure Rate Load-Sharing k-out-of-n:g Systems

Reliability Analysis of Tampered Failure Rate Load-Sharing k-out-of-n:g Systems Reliability Analysis of Tampered Failure Rate Load-Sharing k-out-of-n:g Systems Suprasad V. Amari Relex Software Corporation 540 Pellis Road Greensburg, PA 15601 USA Krishna B. Misra RAMS Consultants 71

More information

A New Extended Mixture Model of Residual Lifetime Distributions

A New Extended Mixture Model of Residual Lifetime Distributions A New Extended Mixture Model of Residual Lifetime Distributions M. Kayid 1 Dept.of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, KSA S. Izadkhah

More information

On a simple construction of bivariate probability functions with fixed marginals 1

On a simple construction of bivariate probability functions with fixed marginals 1 On a simple construction of bivariate probability functions with fixed marginals 1 Djilali AIT AOUDIA a, Éric MARCHANDb,2 a Université du Québec à Montréal, Département de mathématiques, 201, Ave Président-Kennedy

More information

IMPORTANCE MEASURES FOR MULTICOMPONENT BINARY SYSTEMS

IMPORTANCE MEASURES FOR MULTICOMPONENT BINARY SYSTEMS Dept. of Math. University of Oslo Statistical Research Report No. 11 ISSN 86 3842 December 24 IMPORTANCE MEASURES FOR MULTICOMPONENT INARY SYSTEMS Arne ang Huseby Abstract In this paper we review the theory

More information

THE STRUCTURE OF 3-CONNECTED MATROIDS OF PATH WIDTH THREE

THE STRUCTURE OF 3-CONNECTED MATROIDS OF PATH WIDTH THREE THE STRUCTURE OF 3-CONNECTED MATROIDS OF PATH WIDTH THREE RHIANNON HALL, JAMES OXLEY, AND CHARLES SEMPLE Abstract. A 3-connected matroid M is sequential or has path width 3 if its ground set E(M) has a

More information

LOCAL TIMES OF RANKED CONTINUOUS SEMIMARTINGALES

LOCAL TIMES OF RANKED CONTINUOUS SEMIMARTINGALES LOCAL TIMES OF RANKED CONTINUOUS SEMIMARTINGALES ADRIAN D. BANNER INTECH One Palmer Square Princeton, NJ 8542, USA adrian@enhanced.com RAOUF GHOMRASNI Fakultät II, Institut für Mathematik Sekr. MA 7-5,

More information

An Additive Characterization of Fibers of Characters on F p

An Additive Characterization of Fibers of Characters on F p An Additive Characterization of Fibers of Characters on F p Chris Monico Texas Tech University Lubbock, TX c.monico@ttu.edu Michele Elia Politecnico di Torino Torino, Italy elia@polito.it January 30, 2009

More information

A Generalized Eigenmode Algorithm for Reducible Regular Matrices over the Max-Plus Algebra

A Generalized Eigenmode Algorithm for Reducible Regular Matrices over the Max-Plus Algebra International Mathematical Forum, 4, 2009, no. 24, 1157-1171 A Generalized Eigenmode Algorithm for Reducible Regular Matrices over the Max-Plus Algebra Zvi Retchkiman Königsberg Instituto Politécnico Nacional,

More information

A COMPOUND POISSON APPROXIMATION INEQUALITY

A COMPOUND POISSON APPROXIMATION INEQUALITY J. Appl. Prob. 43, 282 288 (2006) Printed in Israel Applied Probability Trust 2006 A COMPOUND POISSON APPROXIMATION INEQUALITY EROL A. PEKÖZ, Boston University Abstract We give conditions under which the

More information

Bounds on expectation of order statistics from a nite population

Bounds on expectation of order statistics from a nite population Journal of Statistical Planning and Inference 113 (2003) 569 588 www.elsevier.com/locate/jspi Bounds on expectation of order statistics from a nite population N. Balakrishnan a;, C. Charalambides b, N.

More information

Complete Moment Convergence for Weighted Sums of Negatively Orthant Dependent Random Variables

Complete Moment Convergence for Weighted Sums of Negatively Orthant Dependent Random Variables Filomat 31:5 217, 1195 126 DOI 1.2298/FIL175195W Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Complete Moment Convergence for

More information

In-Memory Computing of Akers Logic Array

In-Memory Computing of Akers Logic Array In-Memory Computing of Akers Logic Array Eitan Yaakobi Electrical Engineering California Institute of Technology Pasadena, CA 91125 yaakobi@caltechedu Anxiao (Andrew) Jiang Computer Science and Engineering

More information

A New Shuffle Convolution for Multiple Zeta Values

A New Shuffle Convolution for Multiple Zeta Values January 19, 2004 A New Shuffle Convolution for Multiple Zeta Values Ae Ja Yee 1 yee@math.psu.edu The Pennsylvania State University, Department of Mathematics, University Park, PA 16802 1 Introduction As

More information

On the complexity of approximate multivariate integration

On the complexity of approximate multivariate integration On the complexity of approximate multivariate integration Ioannis Koutis Computer Science Department Carnegie Mellon University Pittsburgh, PA 15213 USA ioannis.koutis@cs.cmu.edu January 11, 2005 Abstract

More information

Guaranteeing No Interaction Between Functional Dependencies and Tree-Like Inclusion Dependencies

Guaranteeing No Interaction Between Functional Dependencies and Tree-Like Inclusion Dependencies Guaranteeing No Interaction Between Functional Dependencies and Tree-Like Inclusion Dependencies Mark Levene Department of Computer Science University College London Gower Street London WC1E 6BT, U.K.

More information

Han-Ying Liang, Dong-Xia Zhang, and Jong-Il Baek

Han-Ying Liang, Dong-Xia Zhang, and Jong-Il Baek J. Korean Math. Soc. 41 (2004), No. 5, pp. 883 894 CONVERGENCE OF WEIGHTED SUMS FOR DEPENDENT RANDOM VARIABLES Han-Ying Liang, Dong-Xia Zhang, and Jong-Il Baek Abstract. We discuss in this paper the strong

More information

Lecture Notes 1: Vector spaces

Lecture Notes 1: Vector spaces Optimization-based data analysis Fall 2017 Lecture Notes 1: Vector spaces In this chapter we review certain basic concepts of linear algebra, highlighting their application to signal processing. 1 Vector

More information

Knowledge spaces from a topological point of view

Knowledge spaces from a topological point of view Knowledge spaces from a topological point of view V.I.Danilov Central Economics and Mathematics Institute of RAS Abstract In this paper we consider the operations of restriction, extension and gluing of

More information

MULTIPLIERS OF THE TERMS IN THE LOWER CENTRAL SERIES OF THE LIE ALGEBRA OF STRICTLY UPPER TRIANGULAR MATRICES. Louis A. Levy

MULTIPLIERS OF THE TERMS IN THE LOWER CENTRAL SERIES OF THE LIE ALGEBRA OF STRICTLY UPPER TRIANGULAR MATRICES. Louis A. Levy International Electronic Journal of Algebra Volume 1 (01 75-88 MULTIPLIERS OF THE TERMS IN THE LOWER CENTRAL SERIES OF THE LIE ALGEBRA OF STRICTLY UPPER TRIANGULAR MATRICES Louis A. Levy Received: 1 November

More information

Optimal global rates of convergence for interpolation problems with random design

Optimal global rates of convergence for interpolation problems with random design Optimal global rates of convergence for interpolation problems with random design Michael Kohler 1 and Adam Krzyżak 2, 1 Fachbereich Mathematik, Technische Universität Darmstadt, Schlossgartenstr. 7, 64289

More information

A Discrete Stress-Strength Interference Model With Stress Dependent Strength Hong-Zhong Huang, Senior Member, IEEE, and Zong-Wen An

A Discrete Stress-Strength Interference Model With Stress Dependent Strength Hong-Zhong Huang, Senior Member, IEEE, and Zong-Wen An 118 IEEE TRANSACTIONS ON RELIABILITY VOL. 58 NO. 1 MARCH 2009 A Discrete Stress-Strength Interference Model With Stress Dependent Strength Hong-Zhong Huang Senior Member IEEE and Zong-Wen An Abstract In

More information

Optimal Consecutive-$ $i$ $k$ $/i$ $-out-of-$ $i$ $(2k+1)$ $/i$ $: $ $i$ $G$ $/i$ $ Cycle. Technical Report

Optimal Consecutive-$ $i$ $k$ $/i$ $-out-of-$ $i$ $(2k+1)$ $/i$ $: $ $i$ $G$ $/i$ $ Cycle. Technical Report Optimal Consecutive-$ $i$ $k$ $/i$ $-out-of-$ $i$ $2k1)$ $/i$ $: $ $i$ $G$ $/i$ $ Cycle Technical Report Department of Computer Science and Engineering University of Minnesota 4-192 EECS Building 2 Union

More information

SOLVING FUZZY LINEAR SYSTEMS BY USING THE SCHUR COMPLEMENT WHEN COEFFICIENT MATRIX IS AN M-MATRIX

SOLVING FUZZY LINEAR SYSTEMS BY USING THE SCHUR COMPLEMENT WHEN COEFFICIENT MATRIX IS AN M-MATRIX Iranian Journal of Fuzzy Systems Vol 5, No 3, 2008 pp 15-29 15 SOLVING FUZZY LINEAR SYSTEMS BY USING THE SCHUR COMPLEMENT WHEN COEFFICIENT MATRIX IS AN M-MATRIX M S HASHEMI, M K MIRNIA AND S SHAHMORAD

More information

NONPARAMETRIC ESTIMATION OF COMPONENT RELIABILITY BASED ON LIFETIME DATA FROM SYSTEMS OF VARYING DESIGN

NONPARAMETRIC ESTIMATION OF COMPONENT RELIABILITY BASED ON LIFETIME DATA FROM SYSTEMS OF VARYING DESIGN Statistica Sinica 25 (2015), 1313-1335 doi:http://dx.doi.org/10.5705/ss.2014.092 NONPARAMETRIC ESTIMATION OF COMPONENT RELIABILITY BASED ON LIFETIME DATA FROM SYSTEMS OF VARYING DESIGN Peter Hall 1,2,

More information

14 : Theory of Variational Inference: Inner and Outer Approximation

14 : Theory of Variational Inference: Inner and Outer Approximation 10-708: Probabilistic Graphical Models 10-708, Spring 2014 14 : Theory of Variational Inference: Inner and Outer Approximation Lecturer: Eric P. Xing Scribes: Yu-Hsin Kuo, Amos Ng 1 Introduction Last lecture

More information

DEN: Linear algebra numerical view (GEM: Gauss elimination method for reducing a full rank matrix to upper-triangular

DEN: Linear algebra numerical view (GEM: Gauss elimination method for reducing a full rank matrix to upper-triangular form) Given: matrix C = (c i,j ) n,m i,j=1 ODE and num math: Linear algebra (N) [lectures] c phabala 2016 DEN: Linear algebra numerical view (GEM: Gauss elimination method for reducing a full rank matrix

More information

Lecture 10: Semi-Markov Type Processes

Lecture 10: Semi-Markov Type Processes Lecture 1: Semi-Markov Type Processes 1. Semi-Markov processes (SMP) 1.1 Definition of SMP 1.2 Transition probabilities for SMP 1.3 Hitting times and semi-markov renewal equations 2. Processes with semi-markov

More information

Research Article Minor Prime Factorization for n-d Polynomial Matrices over Arbitrary Coefficient Field

Research Article Minor Prime Factorization for n-d Polynomial Matrices over Arbitrary Coefficient Field Complexity, Article ID 6235649, 9 pages https://doi.org/10.1155/2018/6235649 Research Article Minor Prime Factorization for n-d Polynomial Matrices over Arbitrary Coefficient Field Jinwang Liu, Dongmei

More information

LIFTED CODES OVER FINITE CHAIN RINGS

LIFTED CODES OVER FINITE CHAIN RINGS Math. J. Okayama Univ. 53 (2011), 39 53 LIFTED CODES OVER FINITE CHAIN RINGS Steven T. Dougherty, Hongwei Liu and Young Ho Park Abstract. In this paper, we study lifted codes over finite chain rings. We

More information

STA 216, GLM, Lecture 16. October 29, 2007

STA 216, GLM, Lecture 16. October 29, 2007 STA 216, GLM, Lecture 16 October 29, 2007 Efficient Posterior Computation in Factor Models Underlying Normal Models Generalized Latent Trait Models Formulation Genetic Epidemiology Illustration Structural

More information

Congruence Boolean Lifting Property

Congruence Boolean Lifting Property Congruence Boolean Lifting Property George GEORGESCU and Claudia MUREŞAN University of Bucharest Faculty of Mathematics and Computer Science Academiei 14, RO 010014, Bucharest, Romania Emails: georgescu.capreni@yahoo.com;

More information

Reverse mathematics of some topics from algorithmic graph theory

Reverse mathematics of some topics from algorithmic graph theory F U N D A M E N T A MATHEMATICAE 157 (1998) Reverse mathematics of some topics from algorithmic graph theory by Peter G. C l o t e (Chestnut Hill, Mass.) and Jeffry L. H i r s t (Boone, N.C.) Abstract.

More information

Gaussian Random Fields

Gaussian Random Fields Gaussian Random Fields Mini-Course by Prof. Voijkan Jaksic Vincent Larochelle, Alexandre Tomberg May 9, 009 Review Defnition.. Let, F, P ) be a probability space. Random variables {X,..., X n } are called

More information

Some New Properties of Wishart Distribution

Some New Properties of Wishart Distribution Applied Mathematical Sciences, Vol., 008, no. 54, 673-68 Some New Properties of Wishart Distribution Evelina Veleva Rousse University A. Kanchev Department of Numerical Methods and Statistics 8 Studentska

More information

On Some Properties of the Discrete NBU Class Based On Generating Function Order

On Some Properties of the Discrete NBU Class Based On Generating Function Order Journal of Statistical Theory and Applications Volume 11, Number 3, 2012, pp. 209-223 ISSN 1538-7887 On Some Properties of the Discrete NBU Class Based On Generating Function Order I Elbatal Institute

More information

University of Houston, Department of Mathematics Numerical Analysis, Fall 2005

University of Houston, Department of Mathematics Numerical Analysis, Fall 2005 4 Interpolation 4.1 Polynomial interpolation Problem: LetP n (I), n ln, I := [a,b] lr, be the linear space of polynomials of degree n on I, P n (I) := { p n : I lr p n (x) = n i=0 a i x i, a i lr, 0 i

More information

DS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra.

DS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra. DS-GA 1002 Lecture notes 0 Fall 2016 Linear Algebra These notes provide a review of basic concepts in linear algebra. 1 Vector spaces You are no doubt familiar with vectors in R 2 or R 3, i.e. [ ] 1.1

More information

Factorization of integer-valued polynomials with square-free denominator

Factorization of integer-valued polynomials with square-free denominator accepted by Comm. Algebra (2013) Factorization of integer-valued polynomials with square-free denominator Giulio Peruginelli September 9, 2013 Dedicated to Marco Fontana on the occasion of his 65th birthday

More information

Wittmann Type Strong Laws of Large Numbers for Blockwise m-negatively Associated Random Variables

Wittmann Type Strong Laws of Large Numbers for Blockwise m-negatively Associated Random Variables Journal of Mathematical Research with Applications Mar., 206, Vol. 36, No. 2, pp. 239 246 DOI:0.3770/j.issn:2095-265.206.02.03 Http://jmre.dlut.edu.cn Wittmann Type Strong Laws of Large Numbers for Blockwise

More information

arxiv: v3 [math.ds] 22 Feb 2012

arxiv: v3 [math.ds] 22 Feb 2012 Stability of interconnected impulsive systems with and without time-delays using Lyapunov methods arxiv:1011.2865v3 [math.ds] 22 Feb 2012 Sergey Dashkovskiy a, Michael Kosmykov b, Andrii Mironchenko b,

More information

Acta Mathematica Sinica, English Series Springer-Verlag Berlin Heidelberg & The Editorial Office of AMS 2015

Acta Mathematica Sinica, English Series Springer-Verlag Berlin Heidelberg & The Editorial Office of AMS 2015 Acta Mathematica Sinica, English Series Jul., 2015, Vol. 31, No. 7, pp. 1163 1170 Published online: June 15, 2015 DOI: 10.1007/s10114-015-3616-y Http://www.ActaMath.com Acta Mathematica Sinica, English

More information

Group Decision-Making with Incomplete Fuzzy Linguistic Preference Relations

Group Decision-Making with Incomplete Fuzzy Linguistic Preference Relations Group Decision-Making with Incomplete Fuzzy Linguistic Preference Relations S. Alonso Department of Software Engineering University of Granada, 18071, Granada, Spain; salonso@decsai.ugr.es, F.J. Cabrerizo

More information

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define 1 Measures 1.1 Jordan content in R N II - REAL ANALYSIS Let I be an interval in R. Then its 1-content is defined as c 1 (I) := b a if I is bounded with endpoints a, b. If I is unbounded, we define c 1

More information

Regular finite Markov chains with interval probabilities

Regular finite Markov chains with interval probabilities 5th International Symposium on Imprecise Probability: Theories and Applications, Prague, Czech Republic, 2007 Regular finite Markov chains with interval probabilities Damjan Škulj Faculty of Social Sciences

More information

The Restricted Edge-Connectivity of Kautz Undirected Graphs

The Restricted Edge-Connectivity of Kautz Undirected Graphs The Restricted Edge-Connectivity of Kautz Undirected Graphs Ying-Mei Fan College of Mathematics and Information Science Guangxi University, Nanning, Guangxi, 530004, China Jun-Ming Xu Min Lü Department

More information

On Expected Gaussian Random Determinants

On Expected Gaussian Random Determinants On Expected Gaussian Random Determinants Moo K. Chung 1 Department of Statistics University of Wisconsin-Madison 1210 West Dayton St. Madison, WI 53706 Abstract The expectation of random determinants whose

More information

arxiv: v1 [cs.sy] 2 Apr 2019

arxiv: v1 [cs.sy] 2 Apr 2019 On the Existence of a Fixed Spectrum for a Multi-channel Linear System: A Matroid Theory Approach F Liu 1 and A S Morse 1 arxiv:190401499v1 [cssy] 2 Apr 2019 Abstract Conditions for the existence of a

More information

Tactical Decompositions of Steiner Systems and Orbits of Projective Groups

Tactical Decompositions of Steiner Systems and Orbits of Projective Groups Journal of Algebraic Combinatorics 12 (2000), 123 130 c 2000 Kluwer Academic Publishers. Manufactured in The Netherlands. Tactical Decompositions of Steiner Systems and Orbits of Projective Groups KELDON

More information

Efficient multicut enumeration of k-out-of-n:f and consecutive k-out-of-n:f systems

Efficient multicut enumeration of k-out-of-n:f and consecutive k-out-of-n:f systems Efficient multicut enumeration of k-out-of-n:f and consecutive k-out-of-n:f systems Fatemeh Mohammadi a, Eduardo Sáenz-de-Cabezón b,, Henry P. Wynn c The probability that a system S is suffering at least

More information