| 书目名称 | Introduction to Modeling and Analysis of Stochastic Systems | | 编辑 | V. G. Kulkarni | | 视频video | | | 概述 | Enables readers to develop accurate mathematical models of systems that evolve randomly in time.Reader able to use the stochastic models developed in the book to design systems to achieve preferred pe | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | 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.e | | 出版日期 | Textbook 2011Latest edition | | 关键词 | Brownian Motion; Markov Chains; Poisson Processes; Renewal Processes; Stochastic Models | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4419-1772-0 | | isbn_softcover | 978-1-4614-2735-3 | | isbn_ebook | 978-1-4419-1772-0Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 16:54:02
