An introductory level text on stochastic modelling, suited for undergraduates or graduates in actuarial science, business management, computer science, engineering, operations research, public policy, statistics, and mathematics. It employs a large number of examples to show how to build stochastic models of physical systems, analyse these models to predict their performance, and use the analysis ...
Series: Springer Texts in Statistics
Hardcover: 375 pages
Publisher: Springer (December 15, 2000)
Product Dimensions: 6.1 x 0.9 x 9.2 inches
Amazon Rank: 4108037
Format: PDF ePub fb2 djvu ebook
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This is probably ideal as a reference source for a graduate student or professor who knows stochastics very well already.However, if you are a novice trying to learn about stochastics and want good explanations and examples with an appropriate buildu...
nd control them. The book provides a self-contained review of the relevant topics in probability theory: In discrete and continuous time Markov models it covers the transient and long term behaviour, cost models, and first passage times; under generalised Markov models, it covers renewal processes, cumulative processes and semi-Markov processes. All the material is illustrated with many examples, and the book emphasises numerical answers to the problems. A software package called MAXIM, which runs on MATLAB, is available for downloading.