Simulation 4/e (絕)
- 20本以上，享 8.5折
售價
$
洽詢
- 一般書籍
- ISBN：9780125980630
- 作者：Sheldon M. Ross
- 版次：4
- 年份：2006
- 出版商：Elsevier B.V.
- 頁數/規格：298頁/精裝單色
書籍介紹
目錄
作者介紹
Description
Ross's Simulation, Fourth Edition introduces aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes. This text explains how a computer can be used to generate random numbers, and how to use these random numbers to generate the behavior of a stochastic model over time. It presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.
Ross's Simulation, Fourth Edition introduces aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes. This text explains how a computer can be used to generate random numbers, and how to use these random numbers to generate the behavior of a stochastic model over time. It presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.
Table of Contents
Preface;
Introduction;
Elements of Probability;
Random Numbers;
Generating Discrete Random Variables;
Generating Continuous Random Variables;
The Discrete Event Simulation Approach;
Statistical Analysis of Simulated Data;
Variance Reduction Techniques;
Statistical Validation Techniques;
Markov Chain Monte Carlo Methods;
Some Additional Topics;
Exercises;
References;
Index
Preface;
Introduction;
Elements of Probability;
Random Numbers;
Generating Discrete Random Variables;
Generating Continuous Random Variables;
The Discrete Event Simulation Approach;
Statistical Analysis of Simulated Data;
Variance Reduction Techniques;
Statistical Validation Techniques;
Markov Chain Monte Carlo Methods;
Some Additional Topics;
Exercises;
References;
Index
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
