The Resource Simulation, Sheldon M. Ross, (electronic resource)
Simulation, Sheldon M. Ross, (electronic resource)
Resource Information
The item Simulation, Sheldon M. Ross, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Simulation, Sheldon M. Ross, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.
This item is available to borrow from 1 library branch.
 Summary
 "In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the actual situation and choosing one whose mathematical analysis is tractable. That is, there did not seem to be any payoff in choosing a model that faithfully conformed to the phenomenon under study if it were not possible to mathematically analyze that model. Similar considerations have led to the concentration on asymptotic or steadystate results as opposed to the more useful ones on transient time. However, the relatively recent advent of fast and inexpensive computational power has opened up another approachnamely, to try to model the phenomenon as faithfully as possible and then to rely on a simulation study to analyze it"
 Language
 eng
 Edition
 5th ed
 Extent
 xii, 310 p.
 Contents

 Machine generated contents note: Preface; Introduction; Elements of Probability; Random Numbers; Generating Discrete Random Variables; Generating Continuous Random Variables; The Discrete Event Simulation Approach; Statistical Analysis of Simulated Data; Variance Reduction Techniques; Statistical Validation Techniques; Markov Chain Monte Carlo Methods; Some Additional Topics; Exercises; References; Index
 Label
 Simulation
 Title
 Simulation
 Statement of responsibility
 Sheldon M. Ross
 Language
 eng
 Summary
 "In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the actual situation and choosing one whose mathematical analysis is tractable. That is, there did not seem to be any payoff in choosing a model that faithfully conformed to the phenomenon under study if it were not possible to mathematically analyze that model. Similar considerations have led to the concentration on asymptotic or steadystate results as opposed to the more useful ones on transient time. However, the relatively recent advent of fast and inexpensive computational power has opened up another approachnamely, to try to model the phenomenon as faithfully as possible and then to rely on a simulation study to analyze it"
 Assigning source
 Provided by publisher
 Cataloging source
 MiAaPQ
 http://library.link/vocab/creatorName
 Ross, Sheldon M
 Illustrations
 illustrations
 Index
 index present
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/relatedWorkOrContributorName
 ProQuest (Firm)
 http://library.link/vocab/subjectName

 Random variables
 Probabilities
 Computer simulation
 Label
 Simulation, Sheldon M. Ross, (electronic resource)
 Bibliography note
 Includes bibliographical references and index
 Color
 multicolored
 Contents
 Machine generated contents note: Preface; Introduction; Elements of Probability; Random Numbers; Generating Discrete Random Variables; Generating Continuous Random Variables; The Discrete Event Simulation Approach; Statistical Analysis of Simulated Data; Variance Reduction Techniques; Statistical Validation Techniques; Markov Chain Monte Carlo Methods; Some Additional Topics; Exercises; References; Index
 Control code
 EBC1044919
 Dimensions
 unknown
 Edition
 5th ed
 Extent
 xii, 310 p.
 Form of item

 online
 electronic
 Other physical details
 ill
 Reproduction note
 Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries
 Specific material designation
 remote
 System control number

 (MiAaPQ)EBC1044919
 (AuPeEL)EBL1044919
 (CaPaEBR)ebr10614091
 (CaONFJC)MIL400863
 (OCoLC)818865404
 Label
 Simulation, Sheldon M. Ross, (electronic resource)
 Bibliography note
 Includes bibliographical references and index
 Color
 multicolored
 Contents
 Machine generated contents note: Preface; Introduction; Elements of Probability; Random Numbers; Generating Discrete Random Variables; Generating Continuous Random Variables; The Discrete Event Simulation Approach; Statistical Analysis of Simulated Data; Variance Reduction Techniques; Statistical Validation Techniques; Markov Chain Monte Carlo Methods; Some Additional Topics; Exercises; References; Index
 Control code
 EBC1044919
 Dimensions
 unknown
 Edition
 5th ed
 Extent
 xii, 310 p.
 Form of item

 online
 electronic
 Other physical details
 ill
 Reproduction note
 Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries
 Specific material designation
 remote
 System control number

 (MiAaPQ)EBC1044919
 (AuPeEL)EBL1044919
 (CaPaEBR)ebr10614091
 (CaONFJC)MIL400863
 (OCoLC)818865404
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.sandiego.edu/portal/SimulationSheldonM.Rosselectronic/7__9EntWKxE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.sandiego.edu/portal/SimulationSheldonM.Rosselectronic/7__9EntWKxE/">Simulation, Sheldon M. Ross, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.sandiego.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.sandiego.edu/">University of San Diego Libraries</a></span></span></span></span></div>