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Simulation, Second Edition: Programming Methods and Applications (Statistical Modeling and Decision Science) - Hardcover
Synopsis
Replete with easy-to-understand examples ranging from the prediction of home runs in baseball using an hierarchical Bayesian statistics model to estimating the expected return at blackjack using control variables, this text functions as a complete consideration of simulation. Sheldon Ross provides broad yet thorough coverage of the subject, presenting the development of a simulation study to analyze models, and demonstrates that by using random variables and the concept of discrete events, it is possible to generate the behavior of a stochastic model over time. Also discussed are questions concerning when to stop a simulation, how much confidence can be placed in the results, and extensive new information on the presentation of the alias method for generating discrete random variables material not found in any other text. Students, practitioners, and researchers alike will find this text to have an important place in their research libraries.
* Presents the statistics needed to analyze simulated data as well as those needed for validating the simulation model
* Stresses variance reduction, including control variables and their relation to regression analysis
* Includes a chapter on Markov chain monte carlo methods
* Emphasizes the use of computers throughout the text
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About the Author
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.
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Simulation
Published by
Elsevier Science Publishing Co Inc, 1996
ISBN 10: 0125984103
ISBN 13: 9780125984102
Used
Hardcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Hardback. Condition: Good. Simulation allows complex real world situations to be analyzed quantitatively. First, a model is created to represent the situation, then, using probability and statistics theory, the computer can perform a simulation to predict the outcome of this situation. This text provides a description of the generation of random variables and their use in analyzing a model in simulation study. It details how a computer may be used to generate random numbers, which may then be used to generate the behaviour of a stochastic model over time. The statistics needed to analyze simulated data and to validate the simulation model are also presented. Seller Inventory # CIN0125984103G
Stock Image
Simulation
Published by
Elsevier Science Publishing Co Inc, 1996
ISBN 10: 0125984103
ISBN 13: 9780125984102
Used
Hardcover
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Hardback. Condition: Good. Simulation allows complex real world situations to be analyzed quantitatively. First, a model is created to represent the situation, then, using probability and statistics theory, the computer can perform a simulation to predict the outcome of this situation. This text provides a description of the generation of random variables and their use in analyzing a model in simulation study. It details how a computer may be used to generate random numbers, which may then be used to generate the behaviour of a stochastic model over time. The statistics needed to analyze simulated data and to validate the simulation model are also presented. Seller Inventory # CIN0125984103G
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Simulation, Second Edition: Programming Methods and Applications (Statistical Modeling and Decision Science)
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0125984103I3N00
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Simulation, Second Edition: Programming Methods and Applications (Statistical Modeling and Decision Science)
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Simulation, Second Edition: Programming Methods and Applications (Statistical Modeling and Decision Science)
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0125984103I4N00
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Simulation, Second Edition: Programming Methods and Applications (Statistical Modeling and Decision Science)
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Hardcover. Condition: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0125984103I4N01
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Simulation, Second Edition: Programming Methods and Applications (Statistical Modeling and Decision Science)
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hardcover. Condition: Good. Hardcover ex-library with typical marks shows moderate cover wear. Text is unmarked. Ships FAST! Seller Inventory # 2609070012
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Simulation
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Harcourt Academic Press, San Diego, 1997
ISBN 10: 0125984103
ISBN 13: 9780125984102
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Hardcover. Condition: Near fine. Second Edition. Statistical Modeling and Decision Science. xii, 282 p. 24 cm. Black cloth. Seller Inventory # 137756
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Statistical Modeling and Decision Science: Simulation
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Simulation, Second Edition: Programming Methods and Applications (Statistical Modeling and Decision Science)
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # Q-0125984103