MARC record from Internet Archive

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001 ocm29671064
003 OCoLC
005 20200506235751.0
008 940105s1994 enka b 001 0 eng
010 $a 94001010
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050 00 $aQA274$b.T47 1994
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084 $aMAT 605f$2stub
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084 $aQH 237$2rvk
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084 $a519.216
100 1 $aTijms, H. C.
245 10 $aStochastic models :$ban algorithmic approach /$cHenk C. Tijms.
260 $aChichester ;$aNew York :$bWiley,$c℗♭1994.
300 $ax, 375 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aWiley series in probability and mathematical statistics
504 $aIncludes bibliographical references and index.
505 0 $aCh. 1. Renewal Processes with Applications -- Ch. 2. Markov Chains: Theory and Applications -- Ch. 3. Markovian Decision Processes and their Applications -- Ch. 4. Algorithmic Analysis of Queueing Models -- Appendix A. Useful Tools in Applied Probability -- Appendix B. Useful Probability Distribution Functions -- Appendix C. Laplace Transforms and Generating Functions -- Appendix D. Numerical Solution of Markov Chain Equations.
520 $aStochastic Models: An Algorithmic Approach fulfills the widely perceived need for an introductory text which demonstrates the effective use of simple stochastic models to gain insight into the behaviour of complex stochastic systems. The author's earlier book, Stochastic Modelling and Analysis: A Computational Approach (1986) has become a leading text in the fields of applied probability and stochastic optimization. While this new book retains the features of providing theory, realistic examples and practically useful algorithms it is written with a wider readership in mind and is more student-oriented.
520 8 $aCovering renewal and regenerative processes, discrete-time and continuous-time Markov chains, Markovian decision processes, inventory and queueing theory the book will enable students to perform algorithmic analysis for specific problems. Chosen to illustrate the basic models and their associated solution methods, the examples are drawn from a variety of applications fields, such as inventory control, reliability, maintenance, insurance and teletraffic. Each chapter concludes with a range of interesting and thought-provoking exercises, some of which require the use of computer software. The accessible yet rigorous exposition ensures that the book will be an invaluable resource for senior undergraduate and graduate students of operations research, statistics and engineering.
650 0 $aStochastic systems.
650 0 $aAlgorithms.
650 1 $aAlgorithms.
650 4 $aDe cision.
650 4 $aExercice probabilite
650 4 $aMode le stochastique.
650 6 $aSyste mes stochastiques.
650 6 $aAlgorithmes.
650 7 $aAlgorithms.$2fast$0(OCoLC)fst00805020
650 7 $aStochastic systems.$2fast$0(OCoLC)fst01133532
650 7 $aErneuerungsprozess$2gnd
650 7 $aStochastischer Prozess$2gnd
650 7 $aStochastisches Modell$2gnd
650 7 $aStochastisches System$2gnd
650 7 $aWarteschlangentheorie$2gnd
650 17 $aStochastische modellen.$2gtt
650 7 $aProcessus stochastiques.$2ram
650 7 $aMode les mathe matiques.$2ram
650 7 $aMarkov, Processus de.$2ram
650 7 $aSyste mes stochastiques.$2ram
653 0 $aStochastic models
776 08 $iOnline version:$aTijms, H.C.$tStochastic models.$dChichester ; New York : Wiley, ℗♭1994$w(OCoLC)623778519
830 0 $aWiley series in probability and mathematical statistics.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/enhancements/fy0607/94001010-t.html
856 41 $3Table of contents$uhttp://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=2285656&custom_att_2=simple_viewer
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/enhancements/fy0607/94001010-d.html
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