Solutions of Chi-square Quantile Differential Equation

Size: px
Start display at page:

Download "Solutions of Chi-square Quantile Differential Equation"

Transcription

1 Proceedigs of the World Cogress o Egieerig ad Computer Sciece 07 Vol II WCECS 07, October 5-7, 07, Sa Fracisco, USA Solutios of Chi-square Quatile Differetial Equatio Hilary I. Oagbue, Member, IAENG, Mumiu O. Adamu, Timothy A. Aae Abstract The quatile fuctio of probability distributios is ofte sought after because of their usefuless. The quatile fuctio of some distributios caot be easily obtaied by iversio method ad aroximatio is the oly alterative way. Several ways of quatile aroximatio are available, of which quatile mechaics is oe of such aroach. This paper is focused o the use of quatile mechaics aroach to obtai the quatile ordiary differetial equatio of the Chi-square distributio sice the quatile fuctio of the distributio does ot have close form represetatios except at degrees of freedom equals to two. Power series, Adomia decompositio method (ADM) ad differetial trasform method (DTM) was used to fid the solutio of the oliear Chi-square quatile differetial equatio at degrees of freedom equals to two. The aroximate solutios coverge to the closed (exact) solutio. Furthermore, power series method was used to obtai the solutios for other degrees of freedom ad series expasio was obtaied for large degrees of freedom. Idex Terms Chi-square, quatile fuctio, differetial equatio, shape parameter, Adomia decompositio method, differetial trasform method. T I. INTRODUCTION HE search for aalytic expressio of quatile fuctios has bee a subject of itese research due to the importace of quatile fuctios. Several aroximatios are available i literature which ca be categorized ito four, amely: fuctioal aroximatios, series expasios, umerical algorithms ad closed form writte i terms of a quatile fuctio of aother probability distributio which ca also be refer to quatile ormalizatio. I geeral, the otio of aroximatio of the quatile fuctios have bee discussed extesively by [-6] The quatile fuctio of the Chi-square is very importat i statistical estimatio [ 7-8]. Moreover the aim of the paper is to aly the use of quatile mechaics aroach proposed by [9] to obtai a oliear secod order ordiary differetial equatio which ca be termed as Chi-square Quatile Differetial Equatio (CQDE) usig a trasformatio of the probability desity fuctio (PDF) of the Chi-square distributio. This is a step towards the Mauscript received July 6, 07; revised July 3, 07. This wor was sposored by Coveat Uiversity, Ota, Nigeria. H. I. Oagbue ad T. A. Aae are with the Departmet of Mathematics, Coveat Uiversity, Ota, Nigeria. hilary.oagbue@coveatuiversity.edu.g timothy.aae@coveatuiversity.edu.g M.O. Adamu is with the Departmet of Mathematics, Uiversity of Lagos, Aoa, Lagos, Nigeria. madamu@uilag.edu.g ISBN: ISSN: (Prit); ISSN: (Olie) quatile aroximatio of the distributio. This is because distributios with shape parameters require two steps towards effective quatile aroximatio [0]. Chi-square is a example of such distributio. The solutio of CQDE is the major cotributio of the paper. This was doe by the use of the power series, ADM ad DTM for the case where the degrees of freedom is equal to two. This is to validate the methods for other cases ad to create room for result compariso sice the quatile fuctio of the Chi-square distributio has closed form represetatio at that istace. The power series was used to obtai solutios for the other degrees of freedom. The quatile mechaics as metioed earlier is series expasio method of quatile aroximatio ad has bee alied for ormal distributio [9], beta distributio [9], gamma [], hyperbolic [], expoetial [3] ad studet s t [4]. II. FORMULATION The probability desity fuctio of the chi-square distributio ad the cumulative distributio fuctio are give by; x f ( x) x e, 0, x[0, ) ( / ) x, x F( x, ) P, () where (.,.) icomplete gamma fuctio ad P(.,.) regularized gamma fuctio. The quatile mechaics (QM) aroach was used to obtai the secod order oliear differetial equatio. QM is alied to distributios whose CDF is mootoe icreasig ad absolutely cotiuous. Chi-square distributio is oe of such distributios. That is; F ( p) (3) Where the fuctio F ( p) is the compositioal iverse of the CDF. Suose the PDF f(x) is ow ad the differetiatio exists. The first order quatile equatio is obtaied from the differetiatio of equatio (3) to obtai; F F p f Q p ( ( )) ( ( )) Sice the probability desity fuctio is the derivative of the cumulative distributio fuctio. The solutio to equatio () (4) WCECS 07

2 Proceedigs of the World Cogress o Egieerig ad Computer Sciece 07 Vol II WCECS 07, October 5-7, 07, Sa Fracisco, USA (4) is ofte cumbersome as oted by Ulrich ad Watso [5]. This is due to the oliearity of terms itroduced by the desity fuctio f. Some algebraic operatios are required to fid the solutio of equatio (4). Moreover, equatio (4) ca be writte as; f ( ) (5) Alyig the traditioal product rule of differetiatio to obtai; V ( )( ) (6) Where the oliear term; d V ( x) (l f ( x)) dx (7) These were the results of [9]. It ca be deduced that the further differetiatio eables researchers to aly some ow techiques to fidig the solutio of equatio (6). The reciprocal of the probability desity fuctio of the chisquare distributio is trasformed as a fuctio of the quatile fuctio. d ( ( / )) e (8) Differetiate agai to obtai; d d e ( ) e Q p d ( ( / )) Factorizatio is carried out; d ( ( / )) d e d e ( ) Q p (9) (0) d d d () The secod order oliear ordiary differetial equatios is give as; ( ) ( ) () With the boudary coditios; Q(0) 0, Q(0). d Q p dq p III. POWER SERIES SOLUTION The cumulative distributio fuctio ad its iverse (quatile fuctio) of the chi- square distributio do ot have closed form. However, a aalytical formula is available for the cumulative distributio fuctio of the Chisquare distributio whe the degrees of freedom =. The formula is give as; x ( ) ( e ) F x (3) The quatile fuctio Q(p) ca be obtaied as; p p ( e ) e (4) Taig logarithm; p l (5) The quatile fuctio is give by; p Qp ( ) l (6) The exact solutio (equatio (6)) is compared with the aroximate solutio (equatio (), to compare the covergece of the aroximate solutio to the exact. This is to create a aveue for compariso betwee the exact ad aroximate values ad cosequetly examie the validity of the quatile mechaics. Whe =, equatio () becomes; d d 0 (7) Alteratively, the PDF of the chi-square distributio at = ca be used. The PDF is give as; x f( x) e (8) Alyig the Quatile Mechaics aroach to obtai; d e (9) d Q p ( ) d e d Q p (0) ( ) d Equatio () is the same with equatio (7). The geeral power series solutio of equatios () or (6) is give by; 3 4 c c p c p c p c p c p c p c p Differetiate equatio (); c c p 3c p 4c p c p 6 c p... c p Differetiate equatio (3); c 6c p c p 0c p c p 4 c p... ( ) c p () () (3) Substitute equatios (4) ad (3) ito () ad collect lie (4) ISBN: ISSN: (Prit); ISSN: (Olie) WCECS 07

3 Proceedigs of the World Cogress o Egieerig ad Computer Sciece 07 Vol II WCECS 07, October 5-7, 07, Sa Fracisco, USA terms. costat: 4c 0 c 4 p: c 4c 0 c 3 3 p : 4c 4c 6c 0 c p : 40c 8c c c 0 c p : 60c 0c 6c c 9c 0 c p : c c cc5 4c3c4 0 c p : c 4c 4c c 30c c 6c c 8 04 (5) The coefficiets are substituted ito equatio () to obtai the power series solutio. The power series solutio of equatio (7) or () is give by; p p p p p (6) p p p This is the aroximate solutio of equatio (6), IV. NUMERICAL RESULTS Adomia Decompositio Methods (ADM) ad Differetial Trasform Methods (DTM) are used to cofirm the results of the power series. This is achieved by usig the methods to solve equatio () ad compare with the exact value that is equatio (). The methods are semi-aalytic i ature ad have bee alied extesively i umerical aalysis, computatioal fluid mechaics, rigid bodies aalysis, elasticity, mathematical fiace, ris aalysis ad so o. Details o the theories, modificatios ad alicatios of ADM ad DTM ca be foud i [6], [7], [8], [9], [0], [], [], [3], [4]. Adomia Decompositio Method Writig equatio () i the itegral form gives; dq u( p) p dpdp dp 00 (7) By ADM, the ifiite series solutio is of the form; u( p) u ( p) (8) 0 Now usig (7) i (), we have; dq u ( p) p dpdp dp (9) 0 00 I view of (9), the zeroth order term ca be writte as; 0 u ( ) p p (30) while other terms ca be determied usig the recurrece relatios dq u ( p) dpdp dp (3) 0 00 The oliear terms i equatio (3) ca be represeted as dq B dp ad the Adomia polyomials are computed as follows: B dq dp dq dq, B, dp dp dq0 dq dq, (3) B (33) dp dp dp dq0 dq3 dq dq B3 dp dp dp dp Substitutig equatio (3) i equatio (3) yields u( p) BdPdP 0 00 (34) Solvig equatios (30) ad (34) yields the solutio equatio (). The series solutio of equatio () usig the ADM is; p p 4 p p p p p... (35) Differetial Trasform Method To solve the iitial value problems by DTM we first trasform equatios () as; ( r )( r ) U ( ) ( )! r0u ( ) U ( r ) (36) ad the iitial coditio as U(0) 0, U() (37) Usig equatio (37) i (36) ad resolvig the chage of variables give the solutio of equatio () The series solutio of equatio () usig the DTM is; p p p p p (38) p p p The three methods coverge favorably to the exact value as show i Table. That is the series solutios of equatios (), (35) ad (38). V. EXTENSION TO DIFFERENT DEGREES OF FREEDOM The power series method was used to obtai the series solutios of equatio () for the differet degrees of freedom up to 0. No compariso was made because of the absece of the closed form of the CDF ad QF. The result of the degrees of freedom equals to two is icluded. The coefficiets of the series are show i Table. ISBN: ISSN: (Prit); ISSN: (Olie) WCECS 07

4 Proceedigs of the World Cogress o Egieerig ad Computer Sciece 07 Vol II WCECS 07, October 5-7, 07, Sa Fracisco, USA The equatios formed a series which ca be used to predict p for ay give degree of freedom. Q p p p 4( ) ( ), (39) For very large, p (40) represetatio of both CDF ad QF at that istace. The aroximate solutios coverge to the exact solutio. The procedure serves as a validatio mode for other degrees of freedom. The series solutios for up to degrees of freedom equal to 0 ad for large cases were icluded. The methods used are efficiet i hadig oliear ODE ad is recommeded for solvig quatile differetial equatios of probability distributios ad most importatly quatile differetial equatios. VI. CONCLUDING REMARKS I this paper, the power series method, ADM ad DTM was used to obtai the aroximate solutios of the Chi-square quatile differetial equatios at degrees of freedom equals to two. Chi-square distributio has closed form ACKNOWLEDGMENT The authors are uaimous i areciatio of fiacial sposorship from Coveat Uiversity. The costructive suggestios of the reviewers are greatly areciated. Table : Numerical results of power series, ADM ad DTM p EXACT Power series ERROR ADM ERROR DTM ERROR E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E-09 ISBN: ISSN: (Prit); ISSN: (Olie) WCECS 07

5 Proceedigs of the World Cogress o Egieerig ad Computer Sciece 07 Vol II WCECS 07, October 5-7, 07, Sa Fracisco, USA Table : Coefficiets of the power series solutio for differet degrees of freedom c c c3 c4 c5 c6 c ISBN: ISSN: (Prit); ISSN: (Olie) WCECS 07

6 Proceedigs of the World Cogress o Egieerig ad Computer Sciece 07 Vol II WCECS 07, October 5-7, 07, Sa Fracisco, USA REFERENCES [] J.S. Dagpuar, A easily implemeted geeralised iverse Gaussia geerator, Comm. Stat. Simul. Comput., vol. 8, o., , 989. [] N.R. Farum, A fixed poit method for fidig percetage poits, Al. Stat., vol. 40, o.,. 3-6, 99. [3] Y. Lai, Geeratig iverse Gaussia radom variates by aroximatio, Comput. Stat. Data Aaly., vol. 53, o. 0, , 009. [4] G. Derfliger, W. Hörma ad J. Leydold, Radom variate geeratio by umerical iversio whe oly the desity is ow, ACM Trasac. Model. Comp. Simul., vol. 0, o. 4, Article 8, 00. [5] G. Derfliger, W. Hörma, J. Leydold, ad H. Sa, Efficiet umerical iversio for fiacial simulatios. I Mote Carlo ad Quasi-Mote Carlo Methods, Spriger Berli Heidelberg, , 009. [6] J. Leydold ad W. Hörma, Geeratig geeralized iverse Gaussia radom variates by fast iversio, Comput. Stat. Data Aaly., vol. 55, o.,. 3-7, 0. [7] C.W. Brai ad J. Mi. "O some properties of the quatiles of the chisquare distributio ad their alicatios to iterval estimatio." Comm. Stat. Theo. Meth., vol. 30, o. 8-9, , 00. [8] T. Iglot, Iequalities for quatiles of the chi-square distributio, Prob. Math. Stat., vol. 30, o., , 00. [9] G. Steibrecher ad W.T. Shaw, Quatile mechaics, Euro. J. Al. Math., vol. 9, o.,. 87-, 008. [0] T. Luu, Fast ad accurate parallel computatio of quatile fuctios for radom umber geeratio, Doctoral thesis, Uiversity College Lodo, 06. [] T. Luu, Efficiet ad accurate parallel iversio of the gamma distributio, SIAM J. Scietific Comp., vol. 37, o., C-C4, 05. [] W.T. Shaw ad N. Bricma, Differetial Equatios for Mote Carlo Recyclig ad a GPU-Optimized Normal Quatile, arxiv preprit arxiv: , 009. [3] W.T. Shaw, Eco-mputatioal Fiace: Differetial Equatios for Mote Carlo Recyclig arxiv preprit arxiv: , 009. [4] W.T. Shaw ad A. Muir, Depedecy without copulas or ellipticity, Euro. J. Fiace, vol. 5, o. 7-8, , 009. [5] G. Ulrich ad L.T. Watso, A method for computer geeratio of variates from arbitrary cotiuous distributios, SIAM J. Scietific Comp., vol. 8, o., , 987. [6] G. Adomia, A review of the decompositio method i alied mathematics, J. Math. Aaly. Al., vol. 35, o., , 988. [7] A.M. Wazwaz, A compariso betwee Adomia decompositio method ad Taylor series method i the series solutios, Al. Math. Comput., vol. 97, o., , 998. [8] A.M. Wazwaz, A reliable modificatio of Adomia decompositio method, Al. Math. Comput., vol. 0, o., , 999. [9] A.M. Wazwaz, Adomia decompositio method for a reliable treatmet of the Bratu-type equatios, Al. Math. Comput., vol. 66, o. 3, , 005. [0] A.M. Wazwaz ad S.M. El-Sayed, A ew modificatio of the Adomia decompositio method for liear ad oliear operators, Al. Math. Comput., vol., o. 3, , 00. [] J.K. Zhou, Differetial trasformatio ad its alicatios for electrical circuits, Huazhog Uiversity, Wuha, 986. [] A.A. Opauga, S.O. Edei, H.I. Oagbue, G.O. Ailabi, A.S. Osheu ad B. Ajayi, O umerical solutios of systems of ordiary differetial equatios by umerical-aalytical method, Al. Math. Scieces, vol. 8, o. 64, , 04. [3] S.O. Edei, A.A. Opauga, H.I. Oagbue, G.O. Ailabi, S.A. Adeosu ad A.S. Osheu, A Numerical-computatioal techique for solvig trasformed Cauchy-Euler equidimesioal equatios of homogeous type. Adv. Studies Theo. Physics, vol. 9, o.,. 85 9, 05. [4] A.A. Opauga, S.O. Edei, H.I. Oagbue, S.A. Adeosu ad M.E. Adeosu, Some Methods of Numerical Solutios of Sigular System of Trasistor Circuits, J. Comp. Theo. Naosci., vol., o. 0, , 05. ISBN: ISSN: (Prit); ISSN: (Olie) WCECS 07

Exact Solutions for a Class of Nonlinear Singular Two-Point Boundary Value Problems: The Decomposition Method

Exact Solutions for a Class of Nonlinear Singular Two-Point Boundary Value Problems: The Decomposition Method Exact Solutios for a Class of Noliear Sigular Two-Poit Boudary Value Problems: The Decompositio Method Abd Elhalim Ebaid Departmet of Mathematics, Faculty of Sciece, Tabuk Uiversity, P O Box 741, Tabuki

More information

Solution of Differential Equation from the Transform Technique

Solution of Differential Equation from the Transform Technique Iteratioal Joural of Computatioal Sciece ad Mathematics ISSN 0974-3189 Volume 3, Number 1 (2011), pp 121-125 Iteratioal Research Publicatio House http://wwwirphousecom Solutio of Differetial Equatio from

More information

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan Mathematical ad Computatioal Applicatios, Vol. 9, No. 3, pp. 30-40, 04 DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS Muhammad Aslam Noor, Khalida Iayat Noor ad Asif Waheed

More information

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at

More information

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations Noliear Aalysis ad Differetial Equatios, Vol. 5, 27, o. 4, 57-7 HIKARI Ltd, www.m-hikari.com https://doi.org/.2988/ade.27.62 Modified Decompositio Method by Adomia ad Rach for Solvig Noliear Volterra Itegro-

More information

Generating Functions for Laguerre Type Polynomials. Group Theoretic method

Generating Functions for Laguerre Type Polynomials. Group Theoretic method It. Joural of Math. Aalysis, Vol. 4, 2010, o. 48, 257-266 Geeratig Fuctios for Laguerre Type Polyomials α of Two Variables L ( xy, ) by Usig Group Theoretic method Ajay K. Shula* ad Sriata K. Meher** *Departmet

More information

The Adomian Polynomials and the New Modified Decomposition Method for BVPs of nonlinear ODEs

The Adomian Polynomials and the New Modified Decomposition Method for BVPs of nonlinear ODEs Mathematical Computatio March 015, Volume, Issue 1, PP.1 6 The Adomia Polyomials ad the New Modified Decompositio Method for BVPs of oliear ODEs Jusheg Dua # School of Scieces, Shaghai Istitute of Techology,

More information

wavelet collocation method for solving integro-differential equation.

wavelet collocation method for solving integro-differential equation. IOSR Joural of Egieerig (IOSRJEN) ISSN (e): 5-3, ISSN (p): 78-879 Vol. 5, Issue 3 (arch. 5), V3 PP -7 www.iosrje.org wavelet collocatio method for solvig itegro-differetial equatio. Asmaa Abdalelah Abdalrehma

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

Subject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points

Subject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points Power series solutio of Differetial equatios about ordiary poits Subject: Differetial Equatios & Mathematical Modelig -III Lesso: Power series solutios of Differetial Equatios about ordiary poits Lesso

More information

Chapter 2 The Monte Carlo Method

Chapter 2 The Monte Carlo Method Chapter 2 The Mote Carlo Method The Mote Carlo Method stads for a broad class of computatioal algorithms that rely o radom sampligs. It is ofte used i physical ad mathematical problems ad is most useful

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

arxiv: v1 [cs.sc] 2 Jan 2018

arxiv: v1 [cs.sc] 2 Jan 2018 Computig the Iverse Melli Trasform of Holoomic Sequeces usig Kovacic s Algorithm arxiv:8.9v [cs.sc] 2 Ja 28 Research Istitute for Symbolic Computatio RISC) Johaes Kepler Uiversity Liz, Alteberger Straße

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

Monte Carlo Integration

Monte Carlo Integration Mote Carlo Itegratio I these otes we first review basic umerical itegratio methods (usig Riema approximatio ad the trapezoidal rule) ad their limitatios for evaluatig multidimesioal itegrals. Next we itroduce

More information

Subject: Differential Equations & Mathematical Modeling-III

Subject: Differential Equations & Mathematical Modeling-III Power Series Solutios of Differetial Equatios about Sigular poits Subject: Differetial Equatios & Mathematical Modelig-III Lesso: Power series solutios of differetial equatios about Sigular poits Lesso

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION NEW NEWTON-TYPE METHOD WITH k -ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION R. Thukral Padé Research Cetre, 39 Deaswood Hill, Leeds West Yorkshire, LS7 JS, ENGLAND ABSTRACT The objective

More information

SAMPLING LIPSCHITZ CONTINUOUS DENSITIES. 1. Introduction

SAMPLING LIPSCHITZ CONTINUOUS DENSITIES. 1. Introduction SAMPLING LIPSCHITZ CONTINUOUS DENSITIES OLIVIER BINETTE Abstract. A simple ad efficiet algorithm for geeratig radom variates from the class of Lipschitz cotiuous desities is described. A MatLab implemetatio

More information

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS Joural of Applied Mathematics ad Computatioal Mechaics 4 3(3) 3-8 POWER SERIES SOLUION OF FIRS ORDER MARIX DIFFERENIAL EQUAIONS Staisław Kukla Izabela Zamorska Istitute of Mathematics Czestochowa Uiversity

More information

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 9 Number 1 (017) pp. 45-51 Iteratioal Research Publicatio House http://www.irphouse.com A collocatio method for sigular itegral equatios

More information

ENGI Series Page 6-01

ENGI Series Page 6-01 ENGI 3425 6 Series Page 6-01 6. Series Cotets: 6.01 Sequeces; geeral term, limits, covergece 6.02 Series; summatio otatio, covergece, divergece test 6.03 Stadard Series; telescopig series, geometric series,

More information

Access to the published version may require journal subscription. Published with permission from: Elsevier.

Access to the published version may require journal subscription. Published with permission from: Elsevier. This is a author produced versio of a paper published i Statistics ad Probability Letters. This paper has bee peer-reviewed, it does ot iclude the joural pagiatio. Citatio for the published paper: Forkma,

More information

Some New Iterative Methods for Solving Nonlinear Equations

Some New Iterative Methods for Solving Nonlinear Equations World Applied Scieces Joural 0 (6): 870-874, 01 ISSN 1818-495 IDOSI Publicatios, 01 DOI: 10.589/idosi.wasj.01.0.06.830 Some New Iterative Methods for Solvig Noliear Equatios Muhammad Aslam Noor, Khalida

More information

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS. ICSV4 Cairs Australia 9- July 7 DTRMINATION OF MCHANICAL PROPRTIS OF A NON- UNIFORM BAM USING TH MASURMNT OF TH XCITD LONGITUDINAL LASTIC VIBRATIONS Pavel Aokhi ad Vladimir Gordo Departmet of the mathematics

More information

A Mean Paradox. John Konvalina, Jack Heidel, and Jim Rogers. Department of Mathematics University of Nebraska at Omaha Omaha, NE USA

A Mean Paradox. John Konvalina, Jack Heidel, and Jim Rogers. Department of Mathematics University of Nebraska at Omaha Omaha, NE USA A Mea Paradox by Joh Kovalia, Jac Heidel, ad Jim Rogers Departmet of Mathematics Uiversity of Nebrasa at Omaha Omaha, NE 6882-243 USA Phoe: (42) 554-2836 Fax: (42) 554-2975 E-mail: joho@uomaha.edu A Mea

More information

Nonlinear regression

Nonlinear regression oliear regressio How to aalyse data? How to aalyse data? Plot! How to aalyse data? Plot! Huma brai is oe the most powerfull computatioall tools Works differetly tha a computer What if data have o liear

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE UPB Sci Bull, Series A, Vol 79, Iss, 207 ISSN 22-7027 NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE Gabriel Bercu We itroduce two ew sequeces of Euler-Mascheroi type which have fast covergece

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

μ are complex parameters. Other

μ are complex parameters. Other A New Numerical Itegrator for the Solutio of Iitial Value Problems i Ordiary Differetial Equatios. J. Suday * ad M.R. Odekule Departmet of Mathematical Scieces, Adamawa State Uiversity, Mubi, Nigeria.

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

More information

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations Math Sci Lett, No, 7- ( 7 Mathematical Sciece Letters A Iteratioal Joural http://dxdoiorg/785/msl/5 Higher-order iterative methods by usig Householder's method for solvig certai oliear equatios Waseem

More information

Lecture 2: Monte Carlo Simulation

Lecture 2: Monte Carlo Simulation STAT/Q SCI 43: Itroductio to Resamplig ethods Sprig 27 Istructor: Ye-Chi Che Lecture 2: ote Carlo Simulatio 2 ote Carlo Itegratio Assume we wat to evaluate the followig itegratio: e x3 dx What ca we do?

More information

Resampling Methods. X (1/2), i.e., Pr (X i m) = 1/2. We order the data: X (1) X (2) X (n). Define the sample median: ( n.

Resampling Methods. X (1/2), i.e., Pr (X i m) = 1/2. We order the data: X (1) X (2) X (n). Define the sample median: ( n. Jauary 1, 2019 Resamplig Methods Motivatio We have so may estimators with the property θ θ d N 0, σ 2 We ca also write θ a N θ, σ 2 /, where a meas approximately distributed as Oce we have a cosistet estimator

More information

Quantile Approximation of the Chi square Distribution using the Quantile Mechanics

Quantile Approximation of the Chi square Distribution using the Quantile Mechanics Proceedings of the World Congress on Engineering and Computer Science 017 Vol I WCECS 017, October 57, 017, San Francisco, USA Quantile Approximation of the Chi square Distribution using the Quantile Mechanics

More information

Chapter 9: Numerical Differentiation

Chapter 9: Numerical Differentiation 178 Chapter 9: Numerical Differetiatio Numerical Differetiatio Formulatio of equatios for physical problems ofte ivolve derivatives (rate-of-chage quatities, such as velocity ad acceleratio). Numerical

More information

1 6 = 1 6 = + Factorials and Euler s Gamma function

1 6 = 1 6 = + Factorials and Euler s Gamma function Royal Holloway Uiversity of Lodo Departmet of Physics Factorials ad Euler s Gamma fuctio Itroductio The is a self-cotaied part of the course dealig, essetially, with the factorial fuctio ad its geeralizatio

More information

ADVANCED SOFTWARE ENGINEERING

ADVANCED SOFTWARE ENGINEERING ADVANCED SOFTWARE ENGINEERING COMP 3705 Exercise Usage-based Testig ad Reliability Versio 1.0-040406 Departmet of Computer Ssciece Sada Narayaappa, Aeliese Adrews Versio 1.1-050405 Departmet of Commuicatio

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations Abstract ad Applied Aalysis Volume 2013, Article ID 487062, 4 pages http://dx.doi.org/10.1155/2013/487062 Research Article A New Secod-Order Iteratio Method for Solvig Noliear Equatios Shi Mi Kag, 1 Arif

More information

Math 312 Lecture Notes One Dimensional Maps

Math 312 Lecture Notes One Dimensional Maps Math 312 Lecture Notes Oe Dimesioal Maps Warre Weckesser Departmet of Mathematics Colgate Uiversity 21-23 February 25 A Example We begi with the simplest model of populatio growth. Suppose, for example,

More information

( a) ( ) 1 ( ) 2 ( ) ( ) 3 3 ( ) =!

( a) ( ) 1 ( ) 2 ( ) ( ) 3 3 ( ) =! .8,.9: Taylor ad Maclauri Series.8. Although we were able to fid power series represetatios for a limited group of fuctios i the previous sectio, it is ot immediately obvious whether ay give fuctio has

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

Newton Homotopy Solution for Nonlinear Equations Using Maple14. Abstract

Newton Homotopy Solution for Nonlinear Equations Using Maple14. Abstract Joural of Sciece ad Techology ISSN 9-860 Vol. No. December 0 Newto Homotopy Solutio for Noliear Equatios Usig Maple Nor Haim Abd. Rahma, Arsmah Ibrahim, Mohd Idris Jayes Faculty of Computer ad Mathematical

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

f(x) dx as we do. 2x dx x also diverges. Solution: We compute 2x dx lim

f(x) dx as we do. 2x dx x also diverges. Solution: We compute 2x dx lim Math 3, Sectio 2. (25 poits) Why we defie f(x) dx as we do. (a) Show that the improper itegral diverges. Hece the improper itegral x 2 + x 2 + b also diverges. Solutio: We compute x 2 + = lim b x 2 + =

More information

ME NUMERICAL METHODS Fall 2007

ME NUMERICAL METHODS Fall 2007 ME - 310 NUMERICAL METHODS Fall 2007 Group 02 Istructor: Prof. Dr. Eres Söylemez (Rm C205, email:eres@metu.edu.tr ) Class Hours ad Room: Moday 13:40-15:30 Rm: B101 Wedesday 12:40-13:30 Rm: B103 Course

More information

The Differential Transform Method for Solving Volterra s Population Model

The Differential Transform Method for Solving Volterra s Population Model AASCIT Couicatios Volue, Issue 6 Septeber, 15 olie ISSN: 375-383 The Differetial Trasfor Method for Solvig Volterra s Populatio Model Khatereh Tabatabaei Departet of Matheatics, Faculty of Sciece, Kafas

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Numerical solution of Bagley-Torvik equation using Chebyshev wavelet operational matrix of fractional derivative

Numerical solution of Bagley-Torvik equation using Chebyshev wavelet operational matrix of fractional derivative It. J. Adv. Appl. Math. ad Mech. () (04) 83-9 ISSN: 347-59 Available olie at www.iaamm.com Iteratioal Joural of Advaces i Applied Mathematics ad Mechaics Numerical solutio of Bagley-Torvik equatio usig

More information

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing Physics 6A Solutios to Homework Set # Witer 0. Boas, problem. 8 Use equatio.8 to fid a fractio describig 0.694444444... Start with the formula S = a, ad otice that we ca remove ay umber of r fiite decimals

More information

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

MIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS

MIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS MIDTERM 3 CALCULUS MATH 300 FALL 08 Moday, December 3, 08 5:5 PM to 6:45 PM Name PRACTICE EXAM S Please aswer all of the questios, ad show your work. You must explai your aswers to get credit. You will

More information

IN many scientific and engineering applications, one often

IN many scientific and engineering applications, one often INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND APPLIED MATHEMATICS, VOL 3, NO, FEBRUARY 07 5 Secod Degree Refiemet Jacobi Iteratio Method for Solvig System of Liear Equatio Tesfaye Kebede Abstract Several

More information

Direction: This test is worth 250 points. You are required to complete this test within 50 minutes.

Direction: This test is worth 250 points. You are required to complete this test within 50 minutes. Term Test October 3, 003 Name Math 56 Studet Number Directio: This test is worth 50 poits. You are required to complete this test withi 50 miutes. I order to receive full credit, aswer each problem completely

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0, Math Activity 9( Due with Fial Eam) Usig first ad secod Taylor polyomials with remaider, show that for, 8 Usig a secod Taylor polyomial with remaider, fid the best costat C so that for, C 9 The th Derivative

More information

Numerical Method for Blasius Equation on an infinite Interval

Numerical Method for Blasius Equation on an infinite Interval Numerical Method for Blasius Equatio o a ifiite Iterval Alexader I. Zadori Omsk departmet of Sobolev Mathematics Istitute of Siberia Brach of Russia Academy of Scieces, Russia zadori@iitam.omsk.et.ru 1

More information

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals.

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals. Z - Trasform The -trasform is a very importat tool i describig ad aalyig digital systems. It offers the techiques for digital filter desig ad frequecy aalysis of digital sigals. Defiitio of -trasform:

More information

A comparative study of a system of Lotka-Voltera type of PDEs through perturbation methods

A comparative study of a system of Lotka-Voltera type of PDEs through perturbation methods Computatioal Ecology ad Software, 13, 3(4): 11-15 Article A comparative study of a system of Lotka-Voltera type of PDEs through perturbatio methods H. A. Wahab 1, M. Shakil 1, T. Kha 1, S. Bhatti, M. Naeem

More information

Numerical Methods in Fourier Series Applications

Numerical Methods in Fourier Series Applications Numerical Methods i Fourier Series Applicatios Recall that the basic relatios i usig the Trigoometric Fourier Series represetatio were give by f ( x) a o ( a x cos b x si ) () where the Fourier coefficiets

More information

Complex Analysis Spring 2001 Homework I Solution

Complex Analysis Spring 2001 Homework I Solution Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle

More information

ENGI Series Page 5-01

ENGI Series Page 5-01 ENGI 344 5 Series Page 5-01 5. Series Cotets: 5.01 Sequeces; geeral term, limits, covergece 5.0 Series; summatio otatio, covergece, divergece test 5.03 Series; telescopig series, geometric series, p-series

More information

FFTs in Graphics and Vision. The Fast Fourier Transform

FFTs in Graphics and Vision. The Fast Fourier Transform FFTs i Graphics ad Visio The Fast Fourier Trasform 1 Outlie The FFT Algorithm Applicatios i 1D Multi-Dimesioal FFTs More Applicatios Real FFTs 2 Computatioal Complexity To compute the movig dot-product

More information

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL

More information

Weighted Approximation by Videnskii and Lupas Operators

Weighted Approximation by Videnskii and Lupas Operators Weighted Approximatio by Videsii ad Lupas Operators Aif Barbaros Dime İstabul Uiversity Departmet of Egieerig Sciece April 5, 013 Aif Barbaros Dime İstabul Uiversity Departmet Weightedof Approximatio Egieerig

More information

Assignment 2 Solutions SOLUTION. ϕ 1 Â = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ.

Assignment 2 Solutions SOLUTION. ϕ 1  = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ. PHYSICS 34 QUANTUM PHYSICS II (25) Assigmet 2 Solutios 1. With respect to a pair of orthoormal vectors ϕ 1 ad ϕ 2 that spa the Hilbert space H of a certai system, the operator  is defied by its actio

More information

Inverse Nodal Problems for Differential Equation on the Half-line

Inverse Nodal Problems for Differential Equation on the Half-line Australia Joural of Basic ad Applied Scieces, 3(4): 4498-4502, 2009 ISSN 1991-8178 Iverse Nodal Problems for Differetial Equatio o the Half-lie 1 2 3 A. Dabbaghia, A. Nematy ad Sh. Akbarpoor 1 Islamic

More information

SOLUTION SET VI FOR FALL [(n + 2)(n + 1)a n+2 a n 1 ]x n = 0,

SOLUTION SET VI FOR FALL [(n + 2)(n + 1)a n+2 a n 1 ]x n = 0, 4. Series Solutios of Differetial Equatios:Special Fuctios 4.. Illustrative examples.. 5. Obtai the geeral solutio of each of the followig differetial equatios i terms of Maclauri series: d y (a dx = xy,

More information

THE TRANSFORMATION MATRIX OF CHEBYSHEV IV BERNSTEIN POLYNOMIAL BASES

THE TRANSFORMATION MATRIX OF CHEBYSHEV IV BERNSTEIN POLYNOMIAL BASES Joural of Mathematical Aalysis ISSN: 17-341, URL: http://iliriascom/ma Volume 7 Issue 4(16, Pages 13-19 THE TRANSFORMATION MATRIX OF CHEBYSHEV IV BERNSTEIN POLYNOMIAL BASES ABEDALLAH RABABAH, AYMAN AL

More information

Math 475, Problem Set #12: Answers

Math 475, Problem Set #12: Answers Math 475, Problem Set #12: Aswers A. Chapter 8, problem 12, parts (b) ad (d). (b) S # (, 2) = 2 2, sice, from amog the 2 ways of puttig elemets ito 2 distiguishable boxes, exactly 2 of them result i oe

More information

Probability and statistics: basic terms

Probability and statistics: basic terms Probability ad statistics: basic terms M. Veeraraghava August 203 A radom variable is a rule that assigs a umerical value to each possible outcome of a experimet. Outcomes of a experimet form the sample

More information

1 Approximating Integrals using Taylor Polynomials

1 Approximating Integrals using Taylor Polynomials Seughee Ye Ma 8: Week 7 Nov Week 7 Summary This week, we will lear how we ca approximate itegrals usig Taylor series ad umerical methods. Topics Page Approximatig Itegrals usig Taylor Polyomials. Defiitios................................................

More information

PROBABILITY DISTRIBUTION RELATIONSHIPS. Y.H. Abdelkader, Z.A. Al-Marzouq 1. INTRODUCTION

PROBABILITY DISTRIBUTION RELATIONSHIPS. Y.H. Abdelkader, Z.A. Al-Marzouq 1. INTRODUCTION STATISTICA, ao LXX,., 00 PROBABILITY DISTRIBUTION RELATIONSHIPS. INTRODUCTION I spite of the variety of the probability distributios, may of them are related to each other by differet kids of relatioship.

More information

Introduction to Extreme Value Theory Laurens de Haan, ISM Japan, Erasmus University Rotterdam, NL University of Lisbon, PT

Introduction to Extreme Value Theory Laurens de Haan, ISM Japan, Erasmus University Rotterdam, NL University of Lisbon, PT Itroductio to Extreme Value Theory Laures de Haa, ISM Japa, 202 Itroductio to Extreme Value Theory Laures de Haa Erasmus Uiversity Rotterdam, NL Uiversity of Lisbo, PT Itroductio to Extreme Value Theory

More information

Chapter 7 z-transform

Chapter 7 z-transform Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time

More information

A Generalized Gamma-Weibull Distribution: Model, Properties and Applications

A Generalized Gamma-Weibull Distribution: Model, Properties and Applications Marquette Uiversity e-publicatios@marquette Mathematics, Statistics ad Computer Sciece Faculty Research ad Publicatios Mathematics, Statistics ad Computer Sciece, Departmet of --06 A Geeralized Gamma-Weibull

More information

Math 113 Exam 3 Practice

Math 113 Exam 3 Practice Math Exam Practice Exam will cover.-.9. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for you

More information

Lecture 7: Properties of Random Samples

Lecture 7: Properties of Random Samples Lecture 7: Properties of Radom Samples 1 Cotiued From Last Class Theorem 1.1. Let X 1, X,...X be a radom sample from a populatio with mea µ ad variace σ

More information

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5!

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5! aylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. At ay poit i the eighbourhood of =0, the fuctio ca be represeted as a power series of the followig form: X 0 f(a) f() ƒ() f()= ( ) f( ) (

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

SRC Technical Note June 17, Tight Thresholds for The Pure Literal Rule. Michael Mitzenmacher. d i g i t a l

SRC Technical Note June 17, Tight Thresholds for The Pure Literal Rule. Michael Mitzenmacher. d i g i t a l SRC Techical Note 1997-011 Jue 17, 1997 Tight Thresholds for The Pure Literal Rule Michael Mitzemacher d i g i t a l Systems Research Ceter 130 Lytto Aveue Palo Alto, Califoria 94301 http://www.research.digital.com/src/

More information

Double Stage Shrinkage Estimator of Two Parameters. Generalized Exponential Distribution

Double Stage Shrinkage Estimator of Two Parameters. Generalized Exponential Distribution Iteratioal Mathematical Forum, Vol., 3, o. 3, 3-53 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.9/imf.3.335 Double Stage Shrikage Estimator of Two Parameters Geeralized Expoetial Distributio Alaa M.

More information

Math 2784 (or 2794W) University of Connecticut

Math 2784 (or 2794W) University of Connecticut ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really

More information

Solutions to Final Exam Review Problems

Solutions to Final Exam Review Problems . Let f(x) 4+x. Solutios to Fial Exam Review Problems Math 5C, Witer 2007 (a) Fid the Maclauri series for f(x), ad compute its radius of covergece. Solutio. f(x) 4( ( x/4)) ( x/4) ( ) 4 4 + x. Sice the

More information

Inverse Matrix. A meaning that matrix B is an inverse of matrix A.

Inverse Matrix. A meaning that matrix B is an inverse of matrix A. Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix

More information

Goodness-Of-Fit For The Generalized Exponential Distribution. Abstract

Goodness-Of-Fit For The Generalized Exponential Distribution. Abstract Goodess-Of-Fit For The Geeralized Expoetial Distributio By Amal S. Hassa stitute of Statistical Studies & Research Cairo Uiversity Abstract Recetly a ew distributio called geeralized expoetial or expoetiated

More information

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION alaysia Joural of athematical Scieces 3(1): 83-93 (9) umerical Coformal appig via a Fredholm Itegral Equatio usig Fourier ethod 1 Ali Hassa ohamed urid ad Teh Yua Yig 1, Departmet of athematics, Faculty

More information

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind WDS' Proceedigs of Cotributed Papers, Part I, 57 64, 2. ISBN 978-8-7378-39-2 MATFYZPRESS The Numerical Solutio of Sigular Fredholm Itegral Equatios of the Secod Kid J. Rak Charles Uiversity, Faculty of

More information

On the convergence rates of Gladyshev s Hurst index estimator

On the convergence rates of Gladyshev s Hurst index estimator Noliear Aalysis: Modellig ad Cotrol, 2010, Vol 15, No 4, 445 450 O the covergece rates of Gladyshev s Hurst idex estimator K Kubilius 1, D Melichov 2 1 Istitute of Mathematics ad Iformatics, Vilius Uiversity

More information

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis Recursive Algorithms Recurreces Computer Sciece & Egieerig 35: Discrete Mathematics Christopher M Bourke cbourke@cseuledu A recursive algorithm is oe i which objects are defied i terms of other objects

More information

SOLUTIONS TO EXAM 3. Solution: Note that this defines two convergent geometric series with respective radii r 1 = 2/5 < 1 and r 2 = 1/5 < 1.

SOLUTIONS TO EXAM 3. Solution: Note that this defines two convergent geometric series with respective radii r 1 = 2/5 < 1 and r 2 = 1/5 < 1. SOLUTIONS TO EXAM 3 Problem Fid the sum of the followig series 2 + ( ) 5 5 2 5 3 25 2 2 This series diverges Solutio: Note that this defies two coverget geometric series with respective radii r 2/5 < ad

More information

On forward improvement iteration for stopping problems

On forward improvement iteration for stopping problems O forward improvemet iteratio for stoppig problems Mathematical Istitute, Uiversity of Kiel, Ludewig-Mey-Str. 4, D-24098 Kiel, Germay irle@math.ui-iel.de Albrecht Irle Abstract. We cosider the optimal

More information

Preponderantly increasing/decreasing data in regression analysis

Preponderantly increasing/decreasing data in regression analysis Croatia Operatioal Research Review 269 CRORR 7(2016), 269 276 Prepoderatly icreasig/decreasig data i regressio aalysis Darija Marković 1, 1 Departmet of Mathematics, J. J. Strossmayer Uiversity of Osijek,

More information