Picture 1 of 1

Stock photo

Simulation and the Monte Carlo Method by Reuven y Rubinstein: Used - Picture 1 of 1

Wiley Series in Probability and Statistics Ser.: Simulation and the Monte Carlo Method by Reuven Y. Rubinstein (1981, Hardcover)

AlibrisBooks (450763)

98.5% positive feedback

Price:

US $24.22

(inclusive of GST)

ApproximatelyS$ 31.84

+ $23.35 shipping

Estimated delivery Fri, 16 May - Tue, 27 May

Returns:

30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Good

About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-100471089176

ISBN-139780471089179

eBay Product ID (ePID)399081

Product Key Features

Number of Pages304 Pages

Publication NameSimulation and the Monte Carlo Method

LanguageEnglish

SubjectProbability & Statistics / General, Computer Simulation

Publication Year1981

TypeTextbook

AuthorReuven Y. Rubinstein

Subject AreaMathematics, Computers

SeriesWiley Series in Probability and Statistics Ser.

FormatHardcover

Dimensions

Item Height1 in

Item Weight21 Oz

Item Length9.3 in

Item Width6.3 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN81-001873

Dewey Edition22

Series Volume Number16

IllustratedYes

Dewey Decimal518.282

Table Of ContentSystems, Models, Simulation and the Monte Carlo Method. Random Number Generation. Random Variate Generation. Monte Carlo Integration and Variance Reduction Techniques. Linear Equations and Markov Chains. Regenerative Method for Simulation Analysis. Monte Carlo Optimization. Appendix. Exercises. References. Index.

SynopsisThis book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.

LC Classification NumberQA298