## 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. |

### From inside the book

Results 1-3 of 15

Page 452

The convolution method, when it can be used, is very simple, provided that we

can generate the required K's easily. ... The

direct in its approach and can be useful when the direct methods fail or are ...

The convolution method, when it can be used, is very simple, provided that we

can generate the required K's easily. ... The

**acceptance**-**rejection method**is lessdirect in its approach and can be useful when the direct methods fail or are ...

Page 464

Step 3 is the added pretest, which (if passed) avoids computing the logarithm in

the regular acceptance-rejection test in step 4. (If step 3 were removed, the

algorithm would still be valid and would just be the literal

Step 3 is the added pretest, which (if passed) avoids computing the logarithm in

the regular acceptance-rejection test in step 4. (If step 3 were removed, the

algorithm would still be valid and would just be the literal

**acceptance**-**rejection****method**.) ...Page 494

(d) As an alternative to the inverse-transform method, show that if £/, and U2 are

IID U(0, 1) random variables, then ... Do you think that this is better than the

inverse-transform method? ... The general

(d) As an alternative to the inverse-transform method, show that if £/, and U2 are

IID U(0, 1) random variables, then ... Do you think that this is better than the

inverse-transform method? ... The general

**acceptance**-**rejection method**of Sec.### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Basic Simulation Modeling | 1 |

FixedIncrement Time Advance | 93 |

Problems | 99 |

Copyright | |

21 other sections not shown

### Other editions - View all

### 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