Stochastic Modeling and Analysis - Info and Reading Options
A Computational Approach
By Henk C. Tijms
"Stochastic Modeling and Analysis" is published by John Wiley & Sons Ltd. in June 18, 1986 - Chichester, New York, USA, it has 420 pages and the language of the book is English.
“Stochastic Modeling and Analysis” Metadata:
- Title: ➤ Stochastic Modeling and Analysis
- Author: Henk C. Tijms
- Language: English
- Number of Pages: 420
- Publisher: John Wiley & Sons Ltd.
- Publish Date: June 18, 1986
- Publish Location: Chichester, New York, USA
“Stochastic Modeling and Analysis” Subjects and Themes:
- Subjects: ➤ Stochastic systems - Stochastic analysis - Stochastic processes - Stochastic modelling - Mathematical statistics - Probability theory - Probabilities
Edition Specifications:
- Format: Hardcover
- Weight: 2 pounds
- Dimensions: 9 x 6 x 1 inches
- Pagination: xii, 418 p. ; 24 cm.
Edition Identifiers:
- The Open Library ID: OL26739410M - OL19079857W
- Online Computer Library Center (OCLC) ID: 557865366 - 12584098 - 232366778
- Library of Congress Control Number (LCCN): 85022696
- ISBN-13: 9780471909118
- ISBN-10: 0471909114
- All ISBNs: 0471909114 - 9780471909118
AI-generated Review of “Stochastic Modeling and Analysis”:
"Stochastic Modeling and Analysis" Description:
The Open Library:
This is a volume in the Wiley Series in Probability and Mathematical Statistics. The main concernof this text is the application of stochastic models to practical situations involving uncertainty and dynamism. A feature is the integrated treatment of models and computational methods for stochasticdesign and stochastic optimization problems. Another feature is a careful discussion of robustness resultsfor stochastic service systems, including queueing networks. The book uses realistic examples to explore awide variety of applications such as inventory and production control, reliability, maintenance, queueing,and computer and communication systems. Chapter headings: 1. Renewal processes with applicationsto inventory/production reliability. 2. Markov chains with operations research and computer scienceapplications. 3. Markovian decision processes and their applications. 4. Algorithms and approximationsfor queueing models
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