(Al. Jerozolimskie 202, Warszawa, Poland,
|
|
- Wilfred Banks
- 5 years ago
- Views:
Transcription
1 th IMEKO TC Wokhop o Techical Diagotic Advaced meauemet tool i techical diagotic fo ytem' eliability ad afety Jue 6-7, 4, Waaw, Polad Semi-paametic etimatio of the chage-poit of mea value of o-gauia adom equece by polyomial maximizatio method Sehii W. Zabolotii, Zygmut Lech Waza Chekay State Uiveity of Techology, Ukaie (zaboloti@uk.et) Reeach Ititute of Automatio ad Meauemet PIAP (Al. Jeozolimkie, -486 Wazawa, Polad, zlw@op.pl) Abtact- A applicatio of the maximizatio techique i the ythei of polyomial adaptive algoithm fo a poteio (etopective) etimatio of the chage-poit of the mea value of adom equece i peeted. Statitical imulatio how a igificat iceae i the accuacy of polyomial etimate, which i achieved by takig ito accout the o-gauia chaacte of tatitical data. I. Itoductio Oe of the impotat tak of the diagoi of adom pocee i the meauemet of the poit at which the popetie of the obeved poce ae ubject to a chage (diode). Thi poit i called "the chage-poit". Statitical method of detectig the chage-poit ca be ued i eal time o a poteioi. The latte oe ae alo called the etopective method. A poteio tatitical etimatio i baed o the aalyi of a fixed volume ample of all ifomatio eceived fom the diagoed object. Thi appoach equie a loge time of eactio, but it povide a moe eliable ad accuate etimatio of the chage-poit []. A poteio etimatio of the time of chage the paamete of tochatic pocee i eeded i may pactical applicatio, uch a the diagoi of ome idutial pocee, the detectio of climate chage [], aalyi of the geetic time eie [], idetificatio of ituio i compute etwok [4], egmetatio of peech igal ad meage of ocial etwok [5]. Fo uch a wide age of tak the developmet of a lage vaiety of mathematical model ad tatitical poceig tool i equied. It hould be oted that mot of the theoetical tudie coected with the etimatio of the chage poit i focued o the cla of adom pocee decibed by the Gauia pobability ditibutio. Howeve, the eal tatitical data ae ofte diffeet fom the Gauia model. The claical method, which ae baed o the pobability deity, ae called the paametic method. The mai poblem i paametic appoache (Bayeia ad maximum-likelihood) ae coected with the equiemet of a a pioi ifomatio about the fom of ditibutio, a well a with the potetially high complexity of thei implemetatio ad the aalyi of the popetie. Thu, a igificat amout of the cotempoay eeach coce the cotuctio of applied tatitical method which would allow to emove o miimize the equied amout of the a pioi ifomatio. Such method ae baed o obut tatitical poceig pocedue that ae ieitive to "o-exacte" of pobabilitic model, o o opaametic citeia, idepedet of pecific type of ditibutio. The pice fo omiio of pobabilitic popetie i hadled tatitical data i the deteioatio of quality chaacteitic i compaio with optimal paametic method [6]. The ue of highe-ode tatitic (decibed by momet o cumulat) i oe of the alteative appoache i olvig poblem elated to poceig of o-gauia igal ad data. Thi mathematical tool ca fid applicatio i vaiou aea, whee the etimatio of the chage-poit i impotat, e.g. i: defiig the momet of aival the acoutic emiio igal [7], the detectio chage of video igal [8], detectio of igal chage i telecommuicatio etwok [9]. I thi pape thee i coideed the applicatio a ew ucovetioal tatitical method, i olvig poblem of a poteio type etimatio of chage poit. The method i called the polyomial maximizatio method (MMP) ad it wa popoed by Kucheko []. It ue tochatic polyomial a the mathematical tool. The method ued i cojuctio with the momet-cumulat deciptio allow to implify ubtatially the poce of ythei of adaptive tatitical algoithm. Moeove ice the ifomatio about pobabilitic popetie of data i ued - a impovemet of the accuacy i obtaied, i.e. eductio of value of etimated vaiace ad deceae of the pobability of eoeou deciio ae achieved. Sice the momet-cumulat deciptio of the pobability ditibutio i oly appoximate, tatitical method. Baed o that deciptio allow to obtai oly aymptotically optimal eult (i.e., it accuacy iceae with the ode of the ued tatitic. Thu, the popoed method ca be claified a emi-paametic. The aim of thi pape ae the followig: - uig the method of polyomial optimizatio to ythei o algoithm of a poteioi etimatio of the of chage-poit of the mea-value of the o-gauia adom equece, - ivetigatio of effectivee of thoe algoithm, uig tatitical modellig. 89
2 th IMEKO TC Wokhop o Techical Diagotic Advaced meauemet tool i techical diagotic fo ytem' eliability ad afety Jue 6-7, 4, Waaw, Polad II. Mathematical fomulatio of the poblem Suppoe thee i a adom ample x = { x, x,... x }. Elemet of thi ample ca be itepeted a a et of idepedet adom vaiable. The pobabilitic atue of thi ample ca be decibed by the mea value θ, vaiace σ ad cumulat coefficiet γ l up to a give ode l =,. Up too ome (a pioi ukow) poit of the dicete time τ, the mea value i equal to θ, ad the, at the time τ + it value jump to θ. Ou pupoe i to etimate the value τ of the chage-poit of the mea value of the equece, o the bai of the aalyi of the ample. Vaiou vaiat of the chage poit etimatio may diffe, depedig o the availability of a a pioy ifomatio about value of a vaiable paamete (befoe ad/o afte the chage), a well a o the kowledge of the pobabilitic chaacte of the othe paamete of the adom equece model. III. A poteioi etimatio of the chage-poit of mea value by maximum likelihood method Oe of the baic diectio i ivetigatio of a poteioi poblem of the chage poit tudy i baed o the idea of the maximizatio of the likelihood. It wa elaboated i detail by Hickley []. He popoed a geeal aymptotic appoach to obtai ditibutio of a pioi chage-poit etimate by method of maximum likelihood (MML). Applicatio of thi appoach equie a a pioi ifomatio about the ditibutio law of tatitical data, befoe ad afte the chage. Fo a Gauia ditibutio it i kow that etimatio of the mea value by MML method i the ame a a liea etimatio by method of momet (MM), i.e. ˆ θ = () x v Etimate of the fom () i coitet ad ot hifted. So o-paametic MM etimato ca be ued fo etimatio of the mea value of adom vaiable of ay abitay ditibutio. Howeve, thi aemet i effective oly fo the Gauia model. Fo thi pobabilitic model the logaithm of the maximum likelihood fuctio (MML) with kow vaiace σ i tafomed [] ito tatitic of the fom: ( ) T (, θ ) = ( xv θ ) + ( ) ( xv θ ) θ. () + T θ,θ ha a maximum i a eighbouhood of the tue value of the chage-poit τ. Thu, the deied chage-poit etimate ca be fidig by algoithm: ( θ, θ ) ˆ τ = ag max T (a) Hickley coideed alo the cae whe paamete θ ad θ of the Gau ditibutio ae ukow. I thi cae, the MML etimatio fo the chage-poit of the mea value take o the fom: whee, x v ˆ τ = ag max ˆ θ =, ˆ, = x v + ( ˆ θ ˆ θ ) + ( )( ˆ θ ˆ θ ),,, () θ. (4) Sice tatitic () ad () do ot deped o ay othe pobabilitic paamete, they ca be ued fo opaametic etimatio of the chage-poit of the aveage of adom equece with a abitay ditibutio. Howeve, i uch ituatio (imilaly, i the cae whee the aveage i evaluatig accodig (), i geeal the opaametic algoithm loe thei optimality. To ovecome thi difficulty, ew oliea etimatio algoithm baed o the of the miimizatio of the polyomial ae decibed below. They allow to take ito accout, i a imple way, the degee of o-gauia chaacte of the tatitical data IV. Two-paamete meauemet of tai ad tempeatue chage Let x be equally ditibuted ampled elemet. Coide the algoithm peeted i [] ad deoted by MMP. It i how i that pape that the etimate of a abitay paamete ϑ ca be foud by olvig the followig tochatic equatio with epect to ϑ: 9
3 th IMEKO TC Wokhop o Techical Diagotic Advaced meauemet tool i techical diagotic fo ytem' eliability ad afety Jue 6-7, 4, Waaw, Polad i hi ( ϑ ) x v αi ( ϑ) =, i= ϑ = ˆ ϑ whee: i the ode of the polyomial fo paamete etimatio, α i ( ϑ) - i the theoetical iitial momet of the i-th ode. Coefficiet h i ( ϑ) (fo i =, ) ca be foud by olvig the ytem of liea algebaic equatio, give by coditio of miimizatio of vaiace (with the appopiate ode ) of the etimate of the paamete ϑ, amely: d h i ( ϑ) Fi, j ( ϑ) = α j ( ϑ), j =,, (5) dϑ i= whee Fi, j ( ϑ) = αi+ j ( ϑ) αi ( ϑ) α j ( ϑ) - ceteed coelat of ( j) i, dimeio. Equatio (5) ca be olved aalytically uig the Kame method, i.e. h i i ( ϑ ) =, i =,, whee = det F i, j ; i, j =, - volume of the tochatic polyomial body of dimeio, i - i the detemiat obtaied fom by eplacig the i-th colum by the colum of fee tem of eq. (5). A ew appoach fo fidig the poteioi etimate of chage-poit, popoed i thi pape, i baed o applicatio of MMP method. I thi appoach thee i ued a popety of the followig tochatic polyomial: i l x ϑ = k ϑ + k x, (6) ϑ whee k ( ϑ) = [ hi ( ϑ) αi ( ϑ) ] dϑ, ki ( ϑ) hi ( ϑ) dϑ a i= The mathematical expectatio { l ( x ϑ) } value poit of thi paamete. E ( ) ( ) i ( ϑ) Value of the paamete ϑ belog to ome iteval ( b) ϑ a v i= =, i =, (7a,b), teated a a fuctio of ϑ aume the maximum at the tue a,. If the tochatic polyomial of the fom (6) will be maximized with ue a paamete ϑ which ha a chage-poit (tep chage fom value ϑ to value ϑ ), the we ca build a polyomial fom tatitic: i xv i= + ( ) i (, ϑ ) = k( ϑ ) + ki ( ϑ ) xv + ( ) k( ϑ ) + ki ( ϑ ) P ϑ, (8) i= which will have a maximum i a eighbohood of the tue valueτ of the chage-poit. Thu the geeal algoithm of applyig MMP method fo fidig the etimatio of the chage-poit τ ca be fomulated a follow ˆ τ = ag max P ϑ, ϑ. (9) ( ) ( ) V. Polyomial etimatio of the chage-poit of mea value It i kow fom [] that the etimate of the aveage θ obtaied by MMPl method uig a polyomial of ode = coicide with the fom () of the liea etimate MM. Hece the ythei of polyomial algoithm fo etimatig the chage-poit of thi paamete i jutified oly fo ode. At a ode = polyomial etimate of the mea value ca be foud by olvig the followig quadatic equatio: γ θ γ xv σ = θ = ˆ θ ( + γ 4 ) θ σ ( + γ 4 ) xv + γ ( xv ) σ. () The aalyi of eq. () how that the etimated value of ˆ θ = deped o coefficiet of kewe γ ad γ kutoi 4. If the value of thee paamete ae equal to zeo, the ditibutio i the omal (Gauia) oe. I thi cae the polyomial etimate () educe to the claical etimate of the fom (). It i how i [] that the ue of eq. () eue highe accuacy (deceae the vaiace) of etimate compaed with the etimate (). The aymptotic value of thi etimate (fo ) i give by the followig fomula: 9
4 th IMEKO TC Wokhop o Techical Diagotic Advaced meauemet tool i techical diagotic fo ytem' eliability ad afety Jue 6-7, 4, Waaw, Polad γ g ( γ, γ 4 ) =. (a) + γ 4 Uig the aalytical expeio (5) ad (7) oe ca eaily fid that, fo ode =, the coefficiet maximizig the elected tochatic polyomial of the fom (6) i a eighbohood of the tue value of the paamete θ ae the followig: σ [ 4 6 ] 6 6 whee = σ ( + γ ). k ( θ ) = γ θ + ( + γ ) σθ γ σ θ, k ( ) = γ θ + ( γ ) σθ, ( ) = γ θ 4 γ [ ] θ 4 σ + σ k θ (a-c) I the peece of a pioi ifomatio about the the mea value of θ befoe ad θ afte of chage-poit ad ude the coditio θ > θ, fo the ode of the polyomial = the tatitic (8) ca be expeed a follow: P ( ) ( θ, θ ) = ( ) γ ( θ θ ) + σ ( + γ )( θ θ ) σ γ ( θ θ ) + [ γ ( θ θ ) + σ ( + γ )( θ θ )] x γ ( θ θ ) x. 4 4 v + v + I the cae, whe a pioi ifomatio about the mea value θ ad θ ae ukow, polyomial evaluatio of chage-poit momet (a i the claical cae) ca be foud by eplacig the ukow value of thee paamete by thei poteio etimate of the fom (4). Thee etimate ae fomed fo each potetial chagepoit. Thu, fo = a adaptive algoithm fo fo etimatig the time of chage-poit τˆ baed at MMPl method ca be fomulated a follow: 4 ˆ ( ) ˆ ( ) ˆ ˆ τ = ag max γ θ, + σ + γ 4 θ, σ + xv γ θ, + () 4 ( ) ˆ ( ) ˆ ( ) ˆ + γ θ, + σ + γ 4 θ, σ + xv γ θ,. + The aalyi of the tuctue of polyomial tatitic () ad () cofim agai the fact that, fo =, the ue MMPl i jutified oly i the cae of a aymmety ( γ ) of the ditibutio of the tatitical data. VI. Statitical modelig of a poteioi etimate of chage-poit Baed o eult of above coideatio, a oftwae package i a oftwae eviomet MATLAB, ha bee developed. It allow to pefom the tatitical modelig of the popoed emi-paametic etimatio pocedue, applied to the etimatio of the mea value ad vaiace of the chage-poit of o-gauia adom equece. Both, igle ad multi- expeimet (i the ee of the Mote Calo method) ca be imulated. The accuacy obtaied by claical ad popoed polyomial algoithm fo expeimetal data ca be alo compaed. I Fig. thee ae peeted the eult fo a umeical example obtaied by etimatio pocedue fo the mea value of the chage-poit of aveage value θ ad θ of the o-gauia equece (Fig. a), = whee σ =, γ = ad γ 4 = 5. The calculatio wee pefomed uig the claical veio () of the algoithm of a poteioi etimatio by MMP method (coicidig with MMPl if = ) a well by polyomial algoithm () of MMP fo =. The eult peeted i Fig.,b clealy cofim the potetially highe peciio obtaied by polyomial tatitic fo =, ice the maximum of the coepodig fuctio i togly maked, a compaed with the moothed fom of the tatitic fo =. Reult of the igle expeimet do ot allow to compae adequately the accuacy of the tatitical etimatio algoithm. A a compaative citeio of efficiecy, the atio of vaiace of the etimate of the chage-poit i ued. That ca be obtaied by a eie of expeimet with the ame iitial value of the model paamete. It hould be oted that theoetically the eult of tatitical algoithm of a poteioi etimatio of the chagepoit ca deped o a vaiou facto, icludig e.g.: the elative value of the mea jump at the chage-poit, the pobabilitic atue (value of coefficiet of highe ode cumulat) of o-gauia adom equece, the peece of a a pioi ifomatio about the value vaiable of paamete. Futhemoe, the accuacy of etimatio of the chage-poit deped o the choe umbe of the ample ad o the accuacy of the vaiace etimate, i.e., o the umbe of expeimet m pefomed ude the ame iitial coditio. = () 9
5 th IMEKO TC Wokhop o Techical Diagotic Advaced meauemet tool i techical diagotic fo ytem' eliability ad afety Jue 6-7, 4, Waaw, Polad а) b) Figue. Example of a poteioi etimatio of the chage-poit of the mea value. The eult of tatitical modelig fo = ad m = ae how i Figue. G i the atio of vaiace of the chage-poit etimate obtaied by MMPl method with the polyomial ode: = ad = (Nomal tatitic) epectively. The value of G chaacteize the elative iceae of accuacy. Figue a how the depedece of G o the elative value of the jump at the chage-poit q = ( θ θ ) σ, obtaied with diffeet coefficiet of kewe γ ad kutoi γ 4. Figue b peet the depedece of G o γ (if γ 4 = ad q =. 5 ), obtaied ude diffeet a pioi ifomatio about the mea value of adom equece befoe ad afte the chage. a) b) Figue - The expeimetal value of G coefficiet, which how the eductio of vaiace of etimate of the chage-poit of mea value, obtaied whe MMPl method i ued. 9
6 th IMEKO TC Wokhop o Techical Diagotic Advaced meauemet tool i techical diagotic fo ytem' eliability ad afety Jue 6-7, 4, Waaw, Polad Aalyi of thee ad may othe expeimetal eult cofim the theoetical eult coceig the effectivee of the polyomial method i the chage-poit etimatio. It tu out that the elative gowth of accuacy i oughly the ame fo diffeet fomulatio of the poblem, elated to the peece o abece of a a pioi ifomatio about value of the vaiable paamete. The impovemet doe ot igificatly deped o the elative magitude of the jump at the chage-poit. It i detemied pimaily by the ode of the "o-gauia" of the poce, which umeically i expeed a abolute value of the of highe-ode cumulat coefficiet. VII. Cocluio Reult of the eeach lead to the geeal cocluio about the potetially high efficiecy of the implemetatio of the polyomial maximizatio method to the ythei of imple adaptive algoithm fo etimatig of chage-poit of paamete of tochatic pocee of o-gauia chaacte of tatitical data. Obtaied theoetical eult allowed to develop a fudametally ew appoach to the cotuctio of emipaametic algoithm fo a poteio etimatio of the chage-poit. Thi appoach i baed o the applicatio of tochatic polyomial. Amog may poible diectio of futhe eeach oe hould metio the followig: iceae of the degee of the tochatic polyomial, which i eceay to get moe effective olutio, epecially fo o-gauia equece with ymmetical ditibutio; aalyi of the depedece of the accuacy of detemiig the paamete of o-gauia model (highe-ode tatitic) o the tability of polyomial algoithm fo a poteioi etimatio of the chage-poit; ythei of polyomial algoithm fo etimatig the chage-poit with epect to othe paamete (e.g., dipeio o coelatio ad egeio coefficiet), o i cae whee the value of eveal paamete ae chaged imultaeouly (e.g., the mea value ad the vaiace, etc.). Refeece [] Che J., Gupta A. K. (). Paametic tatitical chage poit aalyi. Bikhaeue, p.7 [] Reeve J., Che J., Wag X. L., Lud R., ad Lu Q. (7). A eview ad compaio of chage-poit detectio techique fo climate data. Joual of Applied Meteoology ad Climatology, 46 (6), 9-95 [] Wag Y., Wu C., Ji Z., Wag B., ad Liag Y. (). No-paametic chage-poit method fo diffeetial gee expeio detectio. PLoS ONE, 6 (5), e.6. [4] Yamaihi K., Takeuchi J., William G., ad Mile P. (). O-lie uupevied outlie detectio uig fiite mixtue with dicoutig leaig algoithm. Poceedig of the Sixth ACM SIGKDD Iteatioal Cofeece o Kowledge Dicovey ad Data Miig, pp.-4,. [5] Liu S., Yamada M., Collie N., & Sugiyama M. (). Chage-poit detectio i time-eie data by elative deity-atio etimatio. Neual Netwok, vol.4, p.7-8. [6] Bodky B. ad Dakhovky B. (99) Nopaametic Method i Chage-Poit Poblem. Kluwe Academic Publihe, Dodecht, the Nethelad. [7] Lokajicek T, Klima K. A. (), Fit aival idetificatio ytem of acoutic emiio (ae) igal by mea of a highe-ode tatitic appoach. Meauemet Sciece ad Techology. Vol. 7, [8] Yih-Ru Wag. (8). The igal chage-poit detectio uig the high-ode tatitic of log-likelihood diffeece fuctio. Iteatioal Acoutic, Speech ad Sigal Poceig,. ICASSP 8. IEEE Iteatioal Cofeece, [9] Cotatio S. Hila, Ioai T. Rekao, Pai At. Matoocota. (). Chage poit detectio i time eie uig highe-ode tatitic: a heuitic appoach, Mathematical Poblem i Egieeig, vol., Aticle ID 76, page. [] Kucheko Y. (), Polyomial Paamete Etimatio of Cloe to Gauia Radom vaiable. Shake Velag, Aache Gemay. [] Hikley D. (97). Ifeece about the chage-poit i a equece of adom vaiable. Biometika. vol. 57. No.. p
OPTIMAL ESTIMATORS FOR THE FINITE POPULATION PARAMETERS IN A SINGLE STAGE SAMPLING. Detailed Outline
OPTIMAL ESTIMATORS FOR THE FIITE POPULATIO PARAMETERS I A SIGLE STAGE SAMPLIG Detailed Outlie ITRODUCTIO Focu o implet poblem: We ae lookig fo a etimato fo the paamete of a fiite populatio i a igle adom
More informationAdvances in Mathematics and Statistical Sciences. On Positive Definite Solution of the Nonlinear Matrix Equation
Advace i Mathematic ad Statitical Sciece O Poitive Defiite Solutio of the Noliea * Matix Equatio A A I SANA'A A. ZAREA Mathematical Sciece Depatmet Pice Nouah Bit Abdul Rahma Uiveity B.O.Box 9Riyad 6 SAUDI
More informationBayesian and Maximum Likelihood Estimation for Kumaraswamy Distribution Based on Ranked Set Sampling
Ameica Joual of Mathematic ad Statitic 04 4(): 0-7 DOI: 0.59/j.ajm.04040.05 Bayeia ad Maximum Lielihood Etimatio fo Kumaawamy Ditibutio Baed o Raed Set Samplig Mohamed A. Huia Depatmet of Mathematical
More informationLesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r x k We assume uncorrelated noise v(n). LTH. September 2010
Optimal Sigal Poceig Leo 5 Chapte 7 Wiee Filte I thi chapte we will ue the model how below. The igal ito the eceive i ( ( iga. Nomally, thi igal i ditubed by additive white oie v(. The ifomatio i i (.
More informationCHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method
CHAPTER 5 : SERIES 5.1 Seies 5. The Sum of a Seies 5..1 Sum of Powe of Positive Iteges 5.. Sum of Seies of Patial Factio 5..3 Diffeece Method 5.3 Test of covegece 5.3.1 Divegece Test 5.3. Itegal Test 5.3.3
More informationAccurate modeling of Quantum-Dot based Multi Tunnel Junction Memory : Optimization and process dispersion analyses for DRAM applications
Accuate modelig of Quatum-Dot baed Multi Tuel Juctio Memoy : Optimizatio ad poce dipeio aalye fo DRAM applicatio C. Le Roye, G. Le Caval, D. Faboulet (CEA - LETI M. Saque (CEA - DRFMC Outlie Itoductio
More information( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to
Compaiso Fuctios I this lesso, we study stability popeties of the oautoomous system = f t, x The difficulty is that ay solutio of this system statig at x( t ) depeds o both t ad t = x Thee ae thee special
More informationInternational Journal of Mathematical Archive-5(3), 2014, Available online through ISSN
Iteatioal Joual of Mathematical Achive-5(3, 04, 7-75 Available olie though www.ijma.ifo ISSN 9 5046 ON THE OSCILLATOY BEHAVIO FO A CETAIN CLASS OF SECOND ODE DELAY DIFFEENCE EQUATIONS P. Mohakuma ad A.
More informationLecture 24: Observability and Constructibility
ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio
More informationDerivation of a Single-Step Hybrid Block Method with Generalized Two Off-Step Points for Solving Second Order Ordinary Differential Equation Directly.
INTENATIONAL JOUNAL OF MATHEMATICS AND COMPUTES IN SIMULATION Volume, 6 Deivatio o a Sigle-Step Hybid Block Metod wit Geealized Two O-Step Poit o Solvig Secod Ode Odiay Dieetial Equatio Diectly. a t. Abdelaim.
More informationLesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r k s r x LTH. September Prediction Error Filter PEF (second order) from chapter 4
Optimal Sigal oceig Leo 5 Capte 7 Wiee Filte I ti capte we will ue te model ow below. Te igal ito te eceie i ( ( iga. Nomally, ti igal i ditubed by additie wite oie (. Te ifomatio i i (. Alo, we ofte ued
More informationSTA 4032 Final Exam Formula Sheet
Chapter 2. Probability STA 4032 Fial Eam Formula Sheet Some Baic Probability Formula: (1) P (A B) = P (A) + P (B) P (A B). (2) P (A ) = 1 P (A) ( A i the complemet of A). (3) If S i a fiite ample pace
More informationInvestigation of Free Radical Polymerization of Using Bifunctional Initiators
Ivetigatio of Fee adical Polymeizatio of Uig Bifuctioal Iitiato Paula Machado 1, Cilee Faco 2, Liliae Loa 3, 1,2,3 Dep. de Poceo Químico - Fac. de Egehaia Química UNICAMP Cidade Uiveitáia Zefeio Vaz ;
More informationChapter 2 Sampling distribution
[ 05 STAT] Chapte Samplig distibutio. The Paamete ad the Statistic Whe we have collected the data, we have a whole set of umbes o desciptios witte dow o a pape o stoed o a compute file. We ty to summaize
More informationOn composite conformal mapping of an annulus to a plane with two holes
O composite cofomal mappig of a aulus to a plae with two holes Mila Batista (July 07) Abstact I the aticle we coside the composite cofomal map which maps aulus to ifiite egio with symmetic hole ad ealy
More informationON THE SCALE PARAMETER OF EXPONENTIAL DISTRIBUTION
Review of the Air Force Academy No. (34)/7 ON THE SCALE PARAMETER OF EXPONENTIAL DISTRIBUTION Aca Ileaa LUPAŞ Military Techical Academy, Bucharet, Romaia (lua_a@yahoo.com) DOI:.96/84-938.7.5..6 Abtract:
More informationSome characterizations for Legendre curves in the 3-Dimensional Sasakian space
IJST (05) 9A4: 5-54 Iaia Joual of Sciece & Techology http://ijthiazuaci Some chaacteizatio fo Legede cuve i the -Dimeioal Saakia pace H Kocayigit* ad M Ode Depatmet of Mathematic, Faculty of At ad Sciece,
More informationLECTURE 13 SIMULTANEOUS EQUATIONS
NOVEMBER 5, 26 Demad-upply ytem LETURE 3 SIMULTNEOUS EQUTIONS I thi lecture, we dicu edogeeity problem that arie due to imultaeity, i.e. the left-had ide variable ad ome of the right-had ide variable are
More information= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n!
0 Combiatoial Aalysis Copyight by Deiz Kalı 4 Combiatios Questio 4 What is the diffeece betwee the followig questio i How may 3-lette wods ca you wite usig the lettes A, B, C, D, E ii How may 3-elemet
More informationStrong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA
Iteatioal Joual of Reseach i Egieeig ad aageet Techology (IJRET) olue Issue July 5 Available at http://wwwijetco/ Stog Result fo Level Cossigs of Rado olyoials Dipty Rai Dhal D K isha Depatet of atheatics
More informationStrong Result for Level Crossings of Random Polynomials
IOSR Joual of haacy ad Biological Scieces (IOSR-JBS) e-issn:78-8, p-issn:19-7676 Volue 11, Issue Ve III (ay - Ju16), 1-18 wwwiosjoualsog Stog Result fo Level Cossigs of Rado olyoials 1 DKisha, AK asigh
More informationGreatest term (numerically) in the expansion of (1 + x) Method 1 Let T
BINOMIAL THEOREM_SYNOPSIS Geatest tem (umeically) i the epasio of ( + ) Method Let T ( The th tem) be the geatest tem. Fid T, T, T fom the give epasio. Put T T T ad. Th will give a iequality fom whee value
More informationBINOMIAL THEOREM An expression consisting of two terms, connected by + or sign is called a
BINOMIAL THEOREM hapte 8 8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4 5y, etc., ae all biomial epessios. 8.. Biomial theoem If
More informationBINOMIAL THEOREM NCERT An expression consisting of two terms, connected by + or sign is called a
8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4, etc., ae all biomial 5y epessios. 8.. Biomial theoem BINOMIAL THEOREM If a ad b ae
More informationTESTS OF SIGNIFICANCE
TESTS OF SIGNIFICANCE Seema Jaggi I.A.S.R.I., Library Aveue, New Delhi eema@iari.re.i I applied ivetigatio, oe i ofte itereted i comparig ome characteritic (uch a the mea, the variace or a meaure of aociatio
More informationInference for A One Way Factorial Experiment. By Ed Stanek and Elaine Puleo
Infeence fo A One Way Factoial Expeiment By Ed Stanek and Elaine Puleo. Intoduction We develop etimating equation fo Facto Level mean in a completely andomized one way factoial expeiment. Thi development
More information12.6 Sequential LMMSE Estimation
12.6 Sequetial LMMSE Estimatio Same kid if settig as fo Sequetial LS Fied umbe of paametes (but hee they ae modeled as adom) Iceasig umbe of data samples Data Model: [ H[ θ + w[ (+1) 1 p 1 [ [[0] [] ukow
More informationKEY. Math 334 Midterm II Fall 2007 section 004 Instructor: Scott Glasgow
KEY Math 334 Midtem II Fall 7 sectio 4 Istucto: Scott Glasgow Please do NOT wite o this exam. No cedit will be give fo such wok. Rathe wite i a blue book, o o you ow pape, pefeably egieeig pape. Wite you
More informationDANIEL YAQUBI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD
MIXED -STIRLING NUMERS OF THE SEOND KIND DANIEL YAQUI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD Abstact The Stilig umbe of the secod id { } couts the umbe of ways to patitio a set of labeled balls ito
More informationAdvanced Physical Geodesy
Supplemetal Notes Review of g Tems i Moitz s Aalytic Cotiuatio Method. Advaced hysical Geodesy GS887 Chistophe Jekeli Geodetic Sciece The Ohio State Uivesity 5 South Oval Mall Columbus, OH 4 7 The followig
More informationTHE REASONABLE CROSS-SECTION SHAPE FOR THE TUNNEL FROM HANOI METRO SYSTEM UNDER THE IMPACT OF THE EARTHQUAKES
Iteatioal Joual of Civil Egieeig ad Techology (IJCIET Volume 9, Iue 1, Decembe 018, pp. 871-880, Aticle ID: IJCIET_09_1_090 Available olie at http://.iaeme.com/ijciet/iue.ap?jtype=ijciet&vtype=9&itype=1
More informationUnified Mittag-Leffler Function and Extended Riemann-Liouville Fractional Derivative Operator
Iteatioal Joual of Mathematic Reeach. ISSN 0976-5840 Volume 9, Numbe 2 (2017), pp. 135-148 Iteatioal Reeach Publicatio Houe http://www.iphoue.com Uified Mittag-Leffle Fuctio ad Exteded Riema-Liouville
More informationTHE ANALYSIS OF SOME MODELS FOR CLAIM PROCESSING IN INSURANCE COMPANIES
Please cite this atle as: Mhal Matalyck Tacaa Romaiuk The aalysis of some models fo claim pocessig i isuace compaies Scietif Reseach of the Istitute of Mathemats ad Compute Sciece 004 Volume 3 Issue pages
More informationEffect of Graph Structures on Selection for a Model of a Population on an Undirected Graph
Effect of Gah Stuctue o Selectio fo a Model of a Poulatio o a Udiected Gah Watig Che Advio: Jao Schweibeg May 0, 206 Abtact Thi eeach focue o aalyzig electio amlifie i oulatio geetic. Sice the tuctue of
More informationMultivector Functions
I: J. Math. Aal. ad Appl., ol. 24, No. 3, c Academic Pess (968) 467 473. Multivecto Fuctios David Hestees I a pevious pape [], the fudametals of diffeetial ad itegal calculus o Euclidea -space wee expessed
More informationSTRONG DEVIATION THEOREMS FOR THE SEQUENCE OF CONTINUOUS RANDOM VARIABLES AND THE APPROACH OF LAPLACE TRANSFORM
Joural of Statitic: Advace i Theory ad Applicatio Volume, Number, 9, Page 35-47 STRONG DEVIATION THEORES FOR THE SEQUENCE OF CONTINUOUS RANDO VARIABLES AND THE APPROACH OF LAPLACE TRANSFOR School of athematic
More information% $ ( 3 2)R T >> T Fermi
6 he gad caoical eemble theoy fo a ytem i equilibium with a heat/paticle eevoi Hiohi Matuoka I thi chapte we will dicu the thid appoach to calculate themal popetie of a micocopic model the caoical eemble
More informationCARDIFF BUSINESS SCHOOL WORKING PAPER SERIES
CARDIFF BUSINESS SCHOOL WORKING PAPER SERIES Cadiff Ecoomic Wokig Pape Woo K Wog A Uique Othogoal Vaiace Decompoitio E008/0 Cadiff Buie School Cadiff Uiveity Colum Dive Cadiff CF0 3EU Uited Kigdom t: +44
More informationA note on random minimum length spanning trees
A ote o adom miimum legth spaig tees Ala Fieze Miklós Ruszikó Lubos Thoma Depatmet of Mathematical Scieces Caegie Mello Uivesity Pittsbugh PA15213, USA ala@adom.math.cmu.edu, usziko@luta.sztaki.hu, thoma@qwes.math.cmu.edu
More informationLast time: Completed solution to the optimum linear filter in real-time operation
6.3 tochatic Etimatio ad Cotrol, Fall 4 ecture at time: Completed olutio to the oimum liear filter i real-time operatio emi-free cofiguratio: t D( p) F( p) i( p) dte dp e π F( ) F( ) ( ) F( p) ( p) 4444443
More informationFibonacci Congruences and Applications
Ameica Ope Joual of Statitic 8-38 doi:436/oj5 Publihed Olie July (http://wwwscirpog/joual/oj) Fiboacci Coguece ad Applicatio Abtact Reé Blache Laboatoy LJK Uiveité Joeph Fouie Geoble Face E-mail: eeblache@aliceadlf
More informationNon-Orthogonal Tensor Diagonalization Based on Successive Rotations and LU Decomposition
o-othogoal Teo Diagoalizatio Baed o Succeive Rotatio ad LU Decompoitio Yig-Liag Liu Xiao-eg Gog ad Qiu-ua Li School of Ifomatio ad ommuicatio Egieeig Dalia Uiveity of Techology Dalia 11603 hia E-mail:
More informationOn ARMA(1,q) models with bounded and periodically correlated solutions
Reseach Repot HSC/03/3 O ARMA(,q) models with bouded ad peiodically coelated solutios Aleksade Weo,2 ad Agieszka Wy oma ska,2 Hugo Steihaus Cete, Woc aw Uivesity of Techology 2 Istitute of Mathematics,
More informationMinimization of the quadratic test function
Miimizatio of the quadatic test fuctio A quadatic fom is a scala quadatic fuctio of a vecto with the fom f ( ) A b c with b R A R whee A is assumed to be SPD ad c is a scala costat Note: A symmetic mati
More informationu t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall
Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace
More informationStatistical Inference Procedures
Statitical Iferece Procedure Cofidece Iterval Hypothei Tet Statitical iferece produce awer to pecific quetio about the populatio of iteret baed o the iformatio i a ample. Iferece procedure mut iclude a
More informationStatistics and Chemical Measurements: Quantifying Uncertainty. Normal or Gaussian Distribution The Bell Curve
Statitic ad Chemical Meauremet: Quatifyig Ucertaity The bottom lie: Do we trut our reult? Should we (or ayoe ele)? Why? What i Quality Aurace? What i Quality Cotrol? Normal or Gauia Ditributio The Bell
More informationBy the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences
Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The
More informationAuchmuty High School Mathematics Department Sequences & Series Notes Teacher Version
equeces ad eies Auchmuty High chool Mathematics Depatmet equeces & eies Notes Teache Vesio A sequece takes the fom,,7,0,, while 7 0 is a seies. Thee ae two types of sequece/seies aithmetic ad geometic.
More informationTHE ANALYTIC LARGE SIEVE
THE ANALYTIC LAGE SIEVE 1. The aalytic lage sieve I the last lectue we saw how to apply the aalytic lage sieve to deive a aithmetic fomulatio of the lage sieve, which we applied to the poblem of boudig
More informationSimulation of Spatially Correlated Large-Scale Parameters and Obtaining Model Parameters from Measurements
Simulation of Spatially Coelated Lage-Scale Paamete and Obtaining Model Paamete fom PER ZETTERBERG Stockholm Septembe 8 TRITA EE 8:49 Simulation of Spatially Coelated Lage-Scale Paamete and Obtaining Model
More information2012 GCE A Level H2 Maths Solution Paper Let x,
GCE A Level H Maths Solutio Pape. Let, y ad z be the cost of a ticet fo ude yeas, betwee ad 5 yeas, ad ove 5 yeas categoies espectively. 9 + y + 4z =. 7 + 5y + z = 8. + 4y + 5z = 58.5 Fo ude, ticet costs
More informationBound states solution of Klein-Gordon Equation with type - I equal vector and Scalar Poschl-Teller potential for Arbitray l State
AMERICAN JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH Sciece Huβ http://www.cihub.og/ajsir ISSN: 5-649X doi:.55/aji...79.8 Boud tate olutio of Klei-Godo Equatio with type - I equal vecto ad Scala Pochl-Telle
More informationThe Multivariate-t distribution and the Simes Inequality. Abstract. Sarkar (1998) showed that certain positively dependent (MTP 2 ) random variables
The Multivaiate-t distibutio ad the Simes Iequality by Hey W. Block 1, Saat K. Saka 2, Thomas H. Savits 1 ad Jie Wag 3 Uivesity of ittsbugh 1,Temple Uivesity 2,Gad Valley State Uivesity 3 Abstact. Saka
More informationa) The average (mean) of the two fractions is halfway between them: b) The answer is yes. Assume without loss of generality that p < r.
Solutios to MAML Olympiad Level 00. Factioated a) The aveage (mea) of the two factios is halfway betwee them: p ps+ q ps+ q + q s qs qs b) The aswe is yes. Assume without loss of geeality that p
More informationMapping Radius of Regular Function and Center of Convex Region. Duan Wenxi
d Iteatioal Cofeece o Electical Compute Egieeig ad Electoics (ICECEE 5 Mappig adius of egula Fuctio ad Cete of Covex egio Dua Wexi School of Applied Mathematics Beijig Nomal Uivesity Zhuhai Chia 363463@qqcom
More informationSociété de Calcul Mathématique, S. A. Algorithmes et Optimisation
Société de Calcul Mathématique S A Algorithme et Optimiatio Radom amplig of proportio Berard Beauzamy Jue 2008 From time to time we fid a problem i which we do ot deal with value but with proportio For
More informationSOLUTION: The 95% confidence interval for the population mean µ is x ± t 0.025; 49
C22.0103 Sprig 2011 Homework 7 olutio 1. Baed o a ample of 50 x-value havig mea 35.36 ad tadard deviatio 4.26, fid a 95% cofidece iterval for the populatio mea. SOLUTION: The 95% cofidece iterval for the
More informationChapter 9. Key Ideas Hypothesis Test (Two Populations)
Chapter 9 Key Idea Hypothei Tet (Two Populatio) Sectio 9-: Overview I Chapter 8, dicuio cetered aroud hypothei tet for the proportio, mea, ad tadard deviatio/variace of a igle populatio. However, ofte
More informationProgression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.
Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a
More informationDesign of a Robust Stable Flux Observer for Induction Motors
8 Joual of Electical Egieeig & echology, Vol., No., pp. 8~85, 7 Deig of a Robut Stable Flux Obeve fo Iductio Moto Sughoi Huh*, Sam-Ju Seo**, Ick Choy*** ad Gwi-ae Pak Abtact - hi pape peet a obutly adaptive
More informationSVD ( ) Linear Algebra for. A bit of repetition. Lecture: 8. Let s try the factorization. Is there a generalization? = Q2Λ2Q (spectral theorem!
Liea Algeba fo Wieless Commuicatios Lectue: 8 Sigula Value Decompositio SVD Ove Edfos Depatmet of Electical ad Ifomatio echology Lud Uivesity it 00-04-06 Ove Edfos A bit of epetitio A vey useful matix
More informationUsing Counting Techniques to Determine Probabilities
Kowledge ticle: obability ad Statistics Usig outig Techiques to Detemie obabilities Tee Diagams ad the Fudametal outig iciple impotat aspect of pobability theoy is the ability to detemie the total umbe
More informationEstimation and Confidence Intervals: Additional Topics
Chapte 8 Etimation and Confidence Inteval: Additional Topic Thi chapte imply follow the method in Chapte 7 fo foming confidence inteval The text i a bit dioganized hee o hopefully we can implify Etimation:
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 30 Sigal & Sytem Prof. Mark Fowler Note Set #8 C-T Sytem: Laplace Traform Solvig Differetial Equatio Readig Aigmet: Sectio 6.4 of Kame ad Heck / Coure Flow Diagram The arrow here how coceptual flow
More informationEstimation of Lomax Parameters Based on Generalized Probability Weighted Moment
JKAU: Sci., Vol. No., pp: 7-84 ( A.D./43 A.H.) Doi:.497 / Sci. -.3 Etimatio of Lomax Paamete Baed o Geealized Pobability Weighted omet Abdllah. Abd-Elfattah, ad Abdllah H. Alhabey Depatmet of Statitic,
More informationSums of Involving the Harmonic Numbers and the Binomial Coefficients
Ameica Joual of Computatioal Mathematics 5 5 96-5 Published Olie Jue 5 i SciRes. http://www.scip.og/oual/acm http://dx.doi.og/.46/acm.5.58 Sums of Ivolvig the amoic Numbes ad the Biomial Coefficiets Wuyugaowa
More informationTechnical Report: Bessel Filter Analysis
Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we
More informationBrief Review of Linear System Theory
Brief Review of Liear Sytem heory he followig iformatio i typically covered i a coure o liear ytem theory. At ISU, EE 577 i oe uch coure ad i highly recommeded for power ytem egieerig tudet. We have developed
More informationSome Integral Mean Estimates for Polynomials
Iteatioal Mathematical Foum, Vol. 8, 23, o., 5-5 HIKARI Ltd, www.m-hikai.com Some Itegal Mea Estimates fo Polyomials Abdullah Mi, Bilal Ahmad Da ad Q. M. Dawood Depatmet of Mathematics, Uivesity of Kashmi
More informationA NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS
Discussioes Mathematicae Gaph Theoy 28 (2008 335 343 A NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS Athoy Boato Depatmet of Mathematics Wilfid Lauie Uivesity Wateloo, ON, Caada, N2L 3C5 e-mail: aboato@oges.com
More informationState space systems analysis
State pace ytem aalyi Repreetatio of a ytem i tate-pace (tate-pace model of a ytem To itroduce the tate pace formalim let u tart with a eample i which the ytem i dicuio i a imple electrical circuit with
More informationGeneralized Fibonacci-Lucas Sequence
Tuish Joual of Aalysis ad Numbe Theoy, 4, Vol, No 6, -7 Available olie at http://pubssciepubcom/tjat//6/ Sciece ad Educatio Publishig DOI:6/tjat--6- Geealized Fiboacci-Lucas Sequece Bijeda Sigh, Ompaash
More informationComments on Discussion Sheet 18 and Worksheet 18 ( ) An Introduction to Hypothesis Testing
Commet o Dicuio Sheet 18 ad Workheet 18 ( 9.5-9.7) A Itroductio to Hypothei Tetig Dicuio Sheet 18 A Itroductio to Hypothei Tetig We have tudied cofidece iterval for a while ow. Thee are method that allow
More informationNegative Exponent a n = 1 a n, where a 0. Power of a Power Property ( a m ) n = a mn. Rational Exponents =
Refeece Popetie Popetie of Expoet Let a ad b be eal umbe ad let m ad be atioal umbe. Zeo Expoet a 0 = 1, wee a 0 Quotiet of Powe Popety a m a = am, wee a 0 Powe of a Quotiet Popety ( a b m, wee b 0 b)
More informationThe solution of unconfined water seepage problem in saturated-unsaturated soil using Bathe algorithm and Signorini condition
IOP Cofeece Seie: Eath ad Eviometal Sciece PAPER OPEN ACCESS The olutio of ucofied wate eepage poblem i atuated-uatuated oil uig Bathe algoithm ad Sigoii coditio To cite thi aticle: Zhogi Dou et al 7 IOP
More informationSigned Decomposition of Fully Fuzzy Linear Systems
Available at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 9-9 Vol., Issue (Jue 8), pp. 77 88 (Peviously, Vol., No. ) Applicatios ad Applied Mathematics: A Iteatioal Joual (AAM) Siged Decompositio of Fully
More informationFinite q-identities related to well-known theorems of Euler and Gauss. Johann Cigler
Fiite -idetities elated to well-ow theoems of Eule ad Gauss Joha Cigle Faultät fü Mathemati Uivesität Wie A-9 Wie, Nodbegstaße 5 email: oha.cigle@uivie.ac.at Abstact We give geealizatios of a fiite vesio
More informationThe Application of a Maximum Likelihood Approach to an Accelerated Life Testing with an Underlying Three- Parameter Weibull Model
Iteatioal Joual of Pefomability Egieeig Vol. 4, No. 3, July 28, pp. 233-24. RAMS Cosultats Pited i Idia The Applicatio of a Maximum Likelihood Appoach to a Acceleated Life Testig with a Udelyig Thee- Paamete
More informationMATH Midterm Solutions
MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca
More informationControl of Free-floating Space Robotic Manipulators base on Neural Network
IJCSI Iteatioal Joual of Compute Sciece Iue, Vol. 9, Iue 6, No, Noembe ISSN (Olie): 694-84 www.ijcsi.og 3 Cotol of Fee-floatig Space Robotic Maipulato bae o Neual Netwok ZHANG Wehui ad ZHU Yifa College
More informationAnother Look at Estimation for MA(1) Processes With a Unit Root
Aother Look at Etimatio for MA Procee With a Uit Root F. Jay Breidt Richard A. Davi Na-Jug Hu Murray Roeblatt Colorado State Uiverity Natioal Tig-Hua Uiverity U. of Califoria, Sa Diego http://www.tat.colotate.edu/~rdavi/lecture
More informationOn a Problem of Littlewood
Ž. JOURAL OF MATHEMATICAL AALYSIS AD APPLICATIOS 199, 403 408 1996 ARTICLE O. 0149 O a Poblem of Littlewood Host Alze Mosbache Stasse 10, 51545 Waldbol, Gemay Submitted by J. L. Bee Received May 19, 1995
More informationRevenue Efficiency Measurement With Undesirable Data in Fuzzy DEA
06 7th teatioal Cofeece o telliet Stem, Modelli ad Simulatio Reveue Efficiec Meauemet With deiale Data i Fuzz DEA Nazila Ahai Depatmet of Mathematic Adail Bach, lamic Azad iveit Adail, a. E-mail: azila.ahai@mail.com
More informationEinstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : ,
MB BINOMIAL THEOREM Biomial Epessio : A algebaic epessio which cotais two dissimila tems is called biomial epessio Fo eample :,,, etc / ( ) Statemet of Biomial theoem : If, R ad N, the : ( + ) = a b +
More information10-716: Advanced Machine Learning Spring Lecture 13: March 5
10-716: Advaced Machie Learig Sprig 019 Lecture 13: March 5 Lecturer: Pradeep Ravikumar Scribe: Charvi Ratogi, Hele Zhou, Nicholay opi Note: Lae template courtey of UC Berkeley EECS dept. Diclaimer: hee
More information13.4 Scalar Kalman Filter
13.4 Scalar Kalma Filter Data Model o derive the Kalma filter we eed the data model: a 1 + u < State quatio > + w < Obervatio quatio > Aumptio 1. u i zero mea Gauia, White, u } σ. w i zero mea Gauia, White,
More informationIntroduction to the Theory of Inference
CSSM Statistics Leadeship Istitute otes Itoductio to the Theoy of Ifeece Jo Cye, Uivesity of Iowa Jeff Witme, Obeli College Statistics is the systematic study of vaiatio i data: how to display it, measue
More informationEDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS
EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME - ALGEBRAIC TECHNIQUES TUTORIAL - PROGRESSIONS CONTENTS Be able to apply algebaic techiques Aithmetic pogessio (AP): fist
More informationFIXED POINT AND HYERS-ULAM-RASSIAS STABILITY OF A QUADRATIC FUNCTIONAL EQUATION IN BANACH SPACES
IJRRAS 6 () July 0 www.apapess.com/volumes/vol6issue/ijrras_6.pdf FIXED POINT AND HYERS-UAM-RASSIAS STABIITY OF A QUADRATIC FUNCTIONA EQUATION IN BANACH SPACES E. Movahedia Behbaha Khatam Al-Abia Uivesity
More informationLESSON 15: COMPOUND INTEREST
High School: Expoeial Fuctios LESSON 15: COMPOUND INTEREST 1. You have see this fomula fo compoud ieest. Paamete P is the picipal amou (the moey you stat with). Paamete is the ieest ate pe yea expessed
More informationThe Pigeonhole Principle 3.4 Binomial Coefficients
Discete M athematic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Ageda Ch 3. The Pigeohole Piciple
More informationINVERSE CAUCHY PROBLEMS FOR NONLINEAR FRACTIONAL PARABOLIC EQUATIONS IN HILBERT SPACE
IJAS 6 (3 Febuay www.apapess.com/volumes/vol6issue3/ijas_6_3_.pdf INVESE CAUCH POBLEMS FO NONLINEA FACTIONAL PAABOLIC EQUATIONS IN HILBET SPACE Mahmoud M. El-Boai Faculty of Sciece Aleadia Uivesit Aleadia
More informationx z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed.
] z-tet for the mea, μ If the P-value i a mall or maller tha a pecified value, the data are tatitically igificat at igificace level. Sigificace tet for the hypothei H 0: = 0 cocerig the ukow mea of a populatio
More informationModelling rheological cone-plate test conditions
ANNUAL TRANSACTIONS OF THE NORDIC RHEOLOGY SOCIETY, VOL. 16, 28 Modellig heological coe-plate test coditios Reida Bafod Schülle 1 ad Calos Salas-Bigas 2 1 Depatmet of Chemisty, Biotechology ad Food Sciece,
More informationELEMENTARY AND COMPOUND EVENTS PROBABILITY
Euopea Joual of Basic ad Applied Scieces Vol. 5 No., 08 ELEMENTARY AND COMPOUND EVENTS PROBABILITY William W.S. Che Depatmet of Statistics The Geoge Washigto Uivesity Washigto D.C. 003 E-mail: williamwsche@gmail.com
More informationSolutions Practice Test PHYS 211 Exam 2
Solution Pactice Tet PHYS 11 Exam 1A We can plit thi poblem up into two pat, each one dealing with a epaate axi. Fo both the x- and y- axe, we have two foce (one given, one unknown) and we get the following
More informationME 410 MECHANICAL ENGINEERING SYSTEMS LABORATORY REGRESSION ANALYSIS
ME 40 MECHANICAL ENGINEERING REGRESSION ANALYSIS Regreio problem deal with the relatiohip betwee the frequec ditributio of oe (depedet) variable ad aother (idepedet) variable() which i (are) held fied
More informationIntegral Problems of Trigonometric Functions
06 IJSRST Volume Issue Pit ISSN: 395-60 Olie ISSN: 395-60X Themed Sectio: Sciece ad Techology Itegal Poblems of Tigoometic Fuctios Chii-Huei Yu Depatmet of Ifomatio Techology Na Jeo Uivesity of Sciece
More information( ) ( ) ( ) ( ) Solved Examples. JEE Main/Boards = The total number of terms in the expansion are 8.
Mathematics. Solved Eamples JEE Mai/Boads Eample : Fid the coefficiet of y i c y y Sol: By usig fomula of fidig geeal tem we ca easily get coefficiet of y. I the biomial epasio, ( ) th tem is c T ( y )
More information