Simulation modeling and analysis / Averill M. Law and W. David Kelton.
By: Law, Averill M
.
Contributor(s): Kelton, W. David.
Material type: 
BookSeries: McGraw-Hill series in industrial engineering and management scienceedited by Kenneth E. Case and Philip M. Wolfe.Publisher: Boston ; London : McGraw Hill, 2000Edition: 3rd ed.Description: xxi, 760 p. : ill. ; 24 cm + hbk.ISBN: 0070592926.Subject(s): Digital computer simulationDDC classification: 003.3 | Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Bishopstown Library Lending | 003.3 (Browse shelf(Opens below)) | 1 | Available | 00077675 | |
| General lending | MTU Bishopstown Library Store | 003.3 (Browse shelf(Opens below)) | 1 | Available | 00085991 |
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Enhanced descriptions from Syndetics:
In this senior/graduate-level text all of the software has been upgraded to FORTRAN and C. There is additional material on object-oriented simulation techniques and on communication networks.
Previous ed.: 191.
Includes bibliographical references (pages 711-743) and index.
Basic Simulation Modeling -- Modeling Complex Systems -- Simulation Software -- Review of Basic Probability and Statistics -- Building Valid, Credible and Appropriately Detailed Simulation Models -- Selecting Input Probability Distributions -- Random-Number Generators -- Generating Random Variates -- Output Data Analysis for a Single System -- Comparing Alternative System Configurations -- Variance-Reduction Techniques -- Experimental Design, Sensitivity Analysis and Optimization -- Simulation of Manufacturing Systems.
Table of contents provided by Syndetics
- 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 and Optimization
- 13 Simulation of Manufacturing Systems