Discrete-Event Simulation A First Course

ISBN-10: 0131429175

ISBN-13: 9780131429178

Edition: 2006

List price: $197.80
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This volume introduces computational and mathematical techniques for modeling, simulating, and analyzing the performance of various systems.Helps readers gain a better understanding of how systems operate and respond to change by: 1) helping them begin to model, simulate, and analyze simple-but-representative systems as soon as possible; and 2) whenever possible, encouraging the experimental exploration and self-discovery of theoretical results before their formal presentation. Features an approachable writing style that emphasizes concepts and insight without sacrificing rigor. Provides C software as source code for running simulations developed in the book, eliminating the need for readers to do all their programming from scratch. Emphasizes an algorithmic approach throughout.A useful reference for industrial engineers.
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Book details

List price: $197.80
Copyright year: 2006
Publisher: Prentice Hall PTR
Publication date: 12/27/2005
Binding: Paperback
Pages: 624
Size: 7.00" wide x 9.10" long x 1.40" tall
Weight: 2.530
Language: English

A Single-Server Queue
A Simple Inventory System
Random Number Generation
Lehmer Random Number Generation: Introduction
Lehmer Random Number Generation: Implementation
Monte Carlo Simulation
Monte Carlo Simulation Examples
Discrete-Event Simulation
Discrete-Event Simulation
Multi-Stream Lehmer Random Number Generation
Discrete-Event Simulation Models
Sample Statistics
Discrete-Data Histograms
Continuous-Data Histograms
Next-Event Simulation
Next-Event Simulation
Next-Event Simulation Examples
Event List Management
Discrete Random Variables
Discrete Random Variables
Generating Discrete Random Variables
Discrete Random Variable Applications
Discrete Random Variable Models
Random Sampling
Continuous Random Variables
Continuous Random Variables
Generating Continuous Random Variables
Continuous Random Variable Applications
Continuous Random Variable Models
Nonstationary Poisson Processes
Input Modeling
Error in Discrete-Event Simulation
Modeling Stationary Processes
Modeling Nonstationary Processes
Output Analysis
Interval Estimation
Monte Carlo Estimation
Finite-Horizon and Infinite-Horizon Statistics
Batch Means
Steady-State Single-Server Service Node Statistics
Empirical Tests of Randomness
Birth-Death Processes
Finite-State Markov Chains
A Network of Single-Server Service Nodes
Simulation Languages
Integer Arithmetic
Parameter Estimation Summary
Random Variate Models
Random Variate Generators
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