000 | 01752nam a22002297a 4500 | ||
---|---|---|---|
999 |
_c893 _d893 |
||
005 | 20210309105827.0 | ||
008 | 210309b ||||| |||| 00| 0 eng d | ||
020 | _a9780070667334 | ||
082 |
_a003.3 _bLAW |
||
100 |
_a Law, Averill M. _92775 |
||
245 | _aSimulation modeling and analysis | ||
250 | _a4th | ||
260 |
_bMcGraw Hill Education (India) Pvt. Ltd. _aNew Delhi _c2013 |
||
300 | _axix, 768 p. | ||
365 |
_aINR _b1030.00 |
||
504 | _a1) 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 | ||
520 | _aSince the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide 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 100,000 copies in print. | ||
650 |
_aDigital computer simulation _92776 |
||
650 |
_aMathematical models _9851 |
||
650 |
_aSimulation methods _92777 |
||
942 |
_2ddc _cBK |