Simulation modeling and analysis
Author(s)
Bibliographic Information
Simulation modeling and analysis
McGraw-Hill Education, c2015
5th ed
Available at 9 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. [725]-758) and index
"Previous editions c2007 and 2000"--T.p. verso
Description and Table of Contents
Description
Simulation Modeling and Analysis provides a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self-study. The book is widely regarded as the "bible" of simulation and now has more than 172,000 copies in print and has been cited more than 18,500 times. This textbook can serve as the primary text for a variety of courses. It is used in leading industrial and systems engineering departments at Georgia Tech, University of Michigan, University of California at Berkeley, Stanford University, Purdue University, Texas A&M University, Columbia University, University of Washington, and Naval Postgraduate School.
Table of Contents
1) Basic Simulation Modeling
2) Modeling Complex Systems
3) Simulation Software
4) Review of Basic Probability and Statistics
5) Building Valid, Credible, and Appropriately Detailed Simulation Models
6) Selecting Input Probability Distributions
7) Random-Number Generators
8) Generating Random Variates
9) Output Data Analysis for a Single System
10) Comparing Alternative System Configurations
11) Variance-Reduction Techniques
12) Experimental Design, Sensitivity Analysis, and Optimization
13) Simulation of Manufacturing Systems
by "Nielsen BookData"