## Simulation modeling and analysisThis authoritative, comprehensive, and thoroughly up-to-date guide addresses all the important aspects of a simulation study, including modeling, simulation languages, validation, input probability distribution, and analysis of simulation output data. Full scale treatments of manufacturing systems simulation and simulation software and animation are also included along with useful and instructive case studies. |

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Page 471

Finally, Chen and Asau (1974) give another method for determining J in step 2,

based on preliminary calculations that ... This is the

Walker (1977) and refined by Kronmal and Peterson (1979); it is very general

and ...

Finally, Chen and Asau (1974) give another method for determining J in step 2,

based on preliminary calculations that ... This is the

**alias method**, developed byWalker (1977) and refined by Kronmal and Peterson (1979); it is very general

and ...

Page 474

(The cutoff values and aliases are not unique, and indeed the two algorithms in

App. 8B may produce different results for the same distribution; both will result in

a valid variate-generation algorithm, however.) Then the

(The cutoff values and aliases are not unique, and indeed the two algorithms in

App. 8B may produce different results for the same distribution; both will result in

a valid variate-generation algorithm, however.) Then the

**alias method**is as ...Page 490

APPENDIX 8B SETUP FOR THE

algorithms for computing the cutoff values /•", and the aliases L, in the setup for

the

APPENDIX 8B SETUP FOR THE

**ALIAS METHOD**There are at least two differentalgorithms for computing the cutoff values /•", and the aliases L, in the setup for

the

**alias method**in Sec. 8.4.3; they do not in general lead to the same sets of ...### What people are saying - Write a review

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### Contents

Basic Simulation Modeling | 1 |

FixedIncrement Time Advance | 93 |

Problems | 99 |

Copyright | |

21 other sections not shown

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### Common terms and phrases

acceptance-rejection method algorithm alias method approach average delay batch Chap confidence interval configurations correlation covariance-stationary define delay in queue density function discrete discussed in Sec distribution function estimate event list event type example exponential distribution exponential random factors FIFO FIGURE forklift FORTRAN fprintf(outfile gamma gamma distribution given histogram idle independent initial integer interarrival inverse-transform method job type machine manufacturing system mean metamodel Note number in queue number of customers observations obtain output data percent confidence interval plot Poisson process Prob probability procedure Q-Q plot queueing model queueing system random numbers random variables replications sample sampst scale parameter scheduled server sim_time simlib simulation simulation model simulation packages simulation run simulation study single-server queueing specified station statistical steady-state stochastic stochastic process Suppose Table teller throughput tion update valid variance variates vector Weibull Weibull distribution