Introduction to simulation and risk analysis
Author(s)
Bibliographic Information
Introduction to simulation and risk analysis
Prentice Hall, c2002
2nd ed.
Available at 10 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. [374]-385) and index
Description and Table of Contents
Description
For upper-level undergraduate Simulation, Business Administration, and related disciplines and beginning graduate courses in business administration and related disciplines.
Providing a hands-on, real-world introduction to the concepts, methodologies, and applications of simulation in business specifically, this soundly structured text uses spreadsheets as the principal means to illustrate simulation modeling concepts, computational issues, and analysis of results - giving students extensive hands-on experience with minimal frustration. Covering the basic concepts of simulation, it provides an in-depth study on risk analysis, and effectively deals with systems simulation, reinforcing basic concepts and principles at every turn and emphasizing the true value of simulation by highlighting real applications used in today's businesses at every opportunity. This text also incorporates Crystal Ball and ProcessModel.
Table of Contents
I. SIMULATION FUNDAMENTALS.
1. Introduction to Simulation.
2. Simulation Using Excel.
3. Probability and Statistics in Simulation.
II. SIMULATION IN RISK ANALYSIS.
4. Risk Analysis Using Crystal Ball.
5. Applications of Risk Analysis.
III. SYSTEMS SIMULATION.
6. Building System Simulation Models.
7. Output Analysis and Experimentation for Systems Simulation.
8. Systems Simulation Using ProcessModel.
9. Applications of System Simulation.
IV. EXTENSIONS OF SIMULATION.
10. Simulation in Forecasting and Optimization.
Appendix A. Normal Distribution.
Appendix B. t Distribution.
Appendix C. Chi Square Limits.
Appendix D. Kolmogorov-Smirnov Limits.
Bibliography.
Index.
by "Nielsen BookData"