The Resource Simulation, Sheldon M. Ross

Simulation, Sheldon M. Ross

Label
Simulation
Title
Simulation
Statement of responsibility
Sheldon M. Ross
Creator
Contributor
Subject
Language
eng
Summary
This text shows how to analyze a model by use of a simulation study
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Ross, Sheldon M
Illustrations
illustrations
Index
index present
LC call number
QA273
LC item number
.R82 1997
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Ross, Sheldon M
http://library.link/vocab/subjectName
  • Random variables
  • Probabilities
  • Computer simulation
  • chaîne Markov
  • simulation
  • méthode Monte-Carlo
  • analyse statistique
  • simulation évènement discret
  • VARIABLE ALEATOIRE DISCRETE
  • nombre aléatoire
  • Variables aléatoires
  • Probabilités
  • Simulation par ordinateur
  • Computer simulation
  • Probabilities
  • Random variables
  • Computersimulaties
  • Statistische modellen
  • Stochastische variabelen
  • Waarschijnlijkheid (statistiek)
  • Simulacao
  • Processos estocasticos especiais
  • Variables aléatoires
  • Simulation, Méthodes de
  • Simulation par ordinateur
  • Probabilités
Label
Simulation, Sheldon M. Ross
Instantiates
Publication
Note
Rev. ed. of: A course in simulation. c1990
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Some Discrete Random Variables
  • Binomial Random Variables
  • Poisson Random Variables
  • Geometric Random Variables
  • The Negative Binomial Random Variable
  • Hypergeometric Random Variables
  • Continuous Random Variables
  • Uniformly Distributed Random Variables
  • Normal Random Variables
  • Exponential Random Variables
  • Elements of Probability
  • The Poisson Process and Gamma Random Variables
  • The Nonhomogeneous Poisson Process
  • Conditional Expectation and Conditional Variance
  • Random Numbers
  • Pseudorandom Number Generation
  • Using Random Numbers to Evaluate Integrals
  • Generating Discrete Random Variables
  • The Inverse Transform Method
  • Generating a Poisson Random Variable
  • Generating Binomial Random Variables
  • Sample Space and Events
  • The Acceptance-Rejection Technique
  • The Composition Approach
  • Generating Random Vectors
  • Generating Continuous Random Variables
  • The Inverse Transform Algorithm
  • The Rejection Method
  • The Polar Method for Generating Normal Random Variables
  • Generating a Poisson Process
  • Generating a Nonhomogeneous Poisson Process
  • The Discrete Event Simulation Approach
  • Axioms of Probability
  • Simulation via Discrete Events
  • A Single-Server Queueing System
  • A Queueing System with Two Servers in Series
  • A Queueing System with Two Parallel Servers
  • An Inventory Model
  • An Insurance Risk Model
  • A Repair Problem
  • Conditional Probability and Independence
  • Random Variables
  • Expectation
  • Variance
  • Chebyshev's Inequality and the Laws of Large Numbers
Dimensions
24 cm.
Edition
2nd ed.
Extent
xii, 282 pages
Isbn
9780125984102
Lccn
96030669
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • (OCoLC)35172584
  • (OCoLC)ocm35172584
Label
Simulation, Sheldon M. Ross
Publication
Note
Rev. ed. of: A course in simulation. c1990
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Some Discrete Random Variables
  • Binomial Random Variables
  • Poisson Random Variables
  • Geometric Random Variables
  • The Negative Binomial Random Variable
  • Hypergeometric Random Variables
  • Continuous Random Variables
  • Uniformly Distributed Random Variables
  • Normal Random Variables
  • Exponential Random Variables
  • Elements of Probability
  • The Poisson Process and Gamma Random Variables
  • The Nonhomogeneous Poisson Process
  • Conditional Expectation and Conditional Variance
  • Random Numbers
  • Pseudorandom Number Generation
  • Using Random Numbers to Evaluate Integrals
  • Generating Discrete Random Variables
  • The Inverse Transform Method
  • Generating a Poisson Random Variable
  • Generating Binomial Random Variables
  • Sample Space and Events
  • The Acceptance-Rejection Technique
  • The Composition Approach
  • Generating Random Vectors
  • Generating Continuous Random Variables
  • The Inverse Transform Algorithm
  • The Rejection Method
  • The Polar Method for Generating Normal Random Variables
  • Generating a Poisson Process
  • Generating a Nonhomogeneous Poisson Process
  • The Discrete Event Simulation Approach
  • Axioms of Probability
  • Simulation via Discrete Events
  • A Single-Server Queueing System
  • A Queueing System with Two Servers in Series
  • A Queueing System with Two Parallel Servers
  • An Inventory Model
  • An Insurance Risk Model
  • A Repair Problem
  • Conditional Probability and Independence
  • Random Variables
  • Expectation
  • Variance
  • Chebyshev's Inequality and the Laws of Large Numbers
Dimensions
24 cm.
Edition
2nd ed.
Extent
xii, 282 pages
Isbn
9780125984102
Lccn
96030669
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • (OCoLC)35172584
  • (OCoLC)ocm35172584

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