LEADER 00810nam0-22003011i-450- 001 990008114090403321 005 20050517141104.0 035 $a000811409 035 $aFED01000811409 035 $a(Aleph)000811409FED01 035 $a000811409 100 $a20050517g18891891km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $ay---n---001yy 200 1 $a<>theory of credit$fHenry Dunning Macleod 210 $aLondon$cLongmans$d1889-91 215 $a2 v.$d23 cm 307 $a1.: XII, 336 p. 676 $a330$v11 rid.$zita 700 1$aMacleod,$bHenry Dunning$f<1821-1902>$0122055 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008114090403321 952 $aXV M 473 (1)$bs.i.$fFGBC 959 $aFGBC 996 $aTheory of credit$9757768 997 $aUNINA LEADER 04631nam 22006375 450 001 9910155318503321 005 20200629181529.0 010 $a3-319-43323-7 024 7 $a10.1007/978-3-319-43323-3 035 $a(CKB)3710000000974297 035 $a(DE-He213)978-3-319-43323-3 035 $a(MiAaPQ)EBC4770697 035 $a(PPN)222233230 035 $a(EXLCZ)993710000000974297 100 $a20161215d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Probability $eAlgorithms and Applications in the Mathematical Sciences /$fby John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis 205 $a2nd ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XI, 336 p. 85 illus., 25 illus. in color.) 225 1 $aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v246 311 $a3-319-43321-0 320 $aIncludes bibliographical references and index. 327 $aComputational Probability -- Maple for APPL -- Data Structures and Simple Algorithms -- Transformations of Random Variables -- Bivariate Transformations of Random Variables -- Products of Random Variables -- Data Structures and Simple Algorithms -- Sums of Independent Discrete Random Variables -- Order Statistics for Random Sampling from Discrete Populations -- Reliability and Survival Analysis -- Symbolic ARMA Model Analysis -- Stochastic Simulation -- Transient Queueing Analysis -- Bayesian Applications -- Other Applications. . 330 $aThis new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables. Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3?6 for continuous random variables and Chapters 7?9 for discrete random variables) used in APPL. The book concludes with Chapters 10?15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department. 410 0$aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v246 606 $aOperations research 606 $aDecision making 606 $aStatistics 606 $aProbabilities 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 615 0$aOperations research. 615 0$aDecision making. 615 0$aStatistics. 615 0$aProbabilities. 615 14$aOperations Research/Decision Theory. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aProbability Theory and Stochastic Processes. 676 $a519.202855133 700 $aDrew$b John H$4aut$4http://id.loc.gov/vocabulary/relators/aut$0933309 702 $aEvans$b Diane L$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGlen$b Andrew G$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLeemis$b Lawrence M$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155318503321 996 $aComputational Probability$92100703 997 $aUNINA