Introduction to modeling and analysis of stochastic systems
This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and public policy. It employs a large number of examples to teach the students to...
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| Glavni autor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Izdanje: | Second Edition. |
| Serija: | Springer Texts in Statistics
|
| Teme: | |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Description d'après consultation du 27 avril 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Introduction to Modeling and Analysis of Stochastic Systems, Texte imprimé, 9781441917713 • Introduction to Modeling and Analysis of Stochastic Systems, Texte imprimé, 9781441917782 • Introduction to Modeling and Analysis of Stochastic Systems, Texte imprimé, 9781461427353 • Introduction to Modeling and Analysis of Stochastic Systems, Texte imprimé, 9781441917713 |
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| 020 | |a 9781441917720 | ||
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| 082 | |a 519.5 | ||
| 084 | |a 60G35. 2010 | ||
| 100 | 1 | |a Kulkarni, V. G. | |
| 245 | 1 | 0 | |a Introduction to modeling and analysis of stochastic systems |c V. G. Kulkarni. |
| 250 | |a Second Edition. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Texts in Statistics |x 2197-4136 | |
| 500 | |a Description d'après consultation du 27 avril 2012 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p.309-310 Index p. 311-313 | ||
| 505 | 1 | |a Introduction Discrete-Time Markov Models Poisson Processes Continuous-Time Markov Models Generalized Markov Models Queueing Models Brownian Motion | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and public policy. It employs a large number of examples to teach the students to use stochastic models of real-life systems to predict their performance, and use this analysis to design better systems. The book is devoted to the study of important classes of stochastic processes: discrete and continuous time Markov processes, Poisson processes, renewal and regenerative processes, semi-Markov processes, queueing models, and diffusion processes. The book systematically studies the short-term and the long-term behavior, cost/reward models, and first passage times. All the material is illustrated with many examples, and case studies. The book provides a concise review of probability in the appendix. The book emphasizes numerical answers to the problems. A collection of MATLAB programs to accompany the this book can be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maxim.zip. A graphical user interface to access the above files can be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maximgui.zip . The second edition incorporates several changes. First its title reflects the changes in content: the chapters on design and control have been removed. The book now contains several case studies that teach the design principles. Two new chapters have been added. The new chapter on Poisson processes gives more attention to this important class of stochastic processes than the first edition did. The new chapter on Brownian motion reflects its increasing importance as an appropriate model for a variety of real-life situations, including finance. V. G. Kulkarni is Professor in the Department of Statistics and Operations Research in the University of North Carolina, Chapel Hill. He has authored a graduate-level text Modeling and Analysis of Stochastic Systems and dozens of articles on stochastic models of queues, computer and communications systems, and production and supply chain systems. He holds a patent on traffic management in telecommunication networks, and has served on the editorial boards of Operations Research Letters, Stochastic Models, and Queueing Systems and Their Applications | ||
| 650 | |a Distribution (théorie des probabilités) | ||
| 650 | |a Processus stochastiques | ||
| 776 | 0 | |t Introduction to Modeling and Analysis of Stochastic Systems |b Texte imprimé |z 9781441917713 | |
| 776 | 0 | |t Introduction to Modeling and Analysis of Stochastic Systems |b Texte imprimé |z 9781441917782 | |
| 776 | 0 | |t Introduction to Modeling and Analysis of Stochastic Systems |b Texte imprimé |z 9781461427353 | |
| 776 | 0 | |t Introduction to Modeling and Analysis of Stochastic Systems |b Texte imprimé |z 9781441917713 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-0GN0R65L-L |z Accès sur la plateforme Istex | |
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| 856 | 4 | |5 180339901:753982021 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4419-1772-0 |z Accès INSA CVL | |
| 997 | |0 968088 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||