## 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 81

Page 512

If we assume that our

appreciably) as the number of replications increases, an approximate expression

for the total number of replications, n*(B), required to obtain an absolute error of ...

If we assume that our

**estimate**S2(n) of the population variance will not change (appreciably) as the number of replications increases, an approximate expression

for the total number of replications, n*(B), required to obtain an absolute error of ...

Page 515

From an exploratory experiment consisting of n replications, one can

cost per replication and the population variance of the Xfs, and then obtain from

Eq. (9.2) a rough

From an exploratory experiment consisting of n replications, one can

**estimate**thecost per replication and the population variance of the Xfs, and then obtain from

Eq. (9.2) a rough

**estimate**of the number of replications, n*(/3), required to ...Page 538

Suppose that we would like to

where B is a set of real numbers. By way of example, for a communications

network we might want to determine the steady-state probability that the end- to-

end ...

Suppose that we would like to

**estimate**the steady-state probability p = P(Y E B),where B is a set of real numbers. By way of example, for a communications

network we might want to determine the steady-state probability that the end- to-

end ...

### 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