Simulation modeling and arena / Manuel D. Rossetti
Material type:
- 9781118607916
- QA 76.9.C65 .R67 2016

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Main General Circulation | Computer Science | GC QA 76.9.C65 .R67 2016 (Browse shelf(Opens below)) | c.1 | Available | NULIB000013713 |
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GC QA 76.9.C55 .B68 1997 A cookbook for serving the Internet : UNIX version / | GC QA 76.9.C55 .G64 1993 Testing client/server applications / | GC QA 76.9.C55 B46 1997 Using Microsoft Back Office, vol. 2 / | GC QA 76.9.C65 .R67 2016 Simulation modeling and arena / | GC QA 76.9.C643 .N85 2012 c.1 The essentials of computer organization and architecture / | GC QA 76.9.C643 .S73 2003 c.1 Computer organization and architecture : designing for performance / | GC QA 76.9.C643 .S73 2003 c.2 Computer organization and architecture : designing for performance / |
Includes bibliographical references and index.
Simulation modeling -- Generating randomness in simulation -- Spreadsheet simulation -- Introduction to simulation in ArenaTM -- Basic process modeling -- Modeling randomness in simulation -- Analyzing simulation output -- Modeling queueing and inventory systems -- Entity movement and material handling -- Miscellaneous topics in ArenaTM modeling -- Application of simulation modeling -- Appendix A : Common distributions -- Appendix B : Statistical tables -- Appendix C : Distributions, operators, functions in ArenaTM -- Appendix D : Queueing theory formulas -- Appendix E : Inventory theory formulas -- Appendix F : Useful equations -- Appendix G : ArenaTM panel modules.
Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication.
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