Essentials of Monte Carlo simulation : statistical methods for building simulation models / Nick T. Thomopoulos.
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TextLanguage: English Publication details: New York : Springer, c2013. Description: xviii, 171 p. : ill. (some col.) ; 24 cmISBN: 9781461460213 (alk. paper); 1461460212 (alk. paper); 9781461460220 (ebk.)Subject(s): Monte Carlo methodDDC classification: 519.53 LOC classification: QA298 | .T497 2013Online resources: WorldCat details | Ebook Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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| 519.53 GRT 1976 Theory and application of the linear model / | 519.53 LIA 1997 Applying generalized linear models / | 519.53 MOM 2006 Models for discrete longitudinal data / | 519.53 THE 2013 Essentials of Monte Carlo simulation : | 519.535 ACD 2013 Discovering structural equation modeling using Stata / | 519.535 AGC 2013 Categorical data analysis / | 519.535 BYS Structural equation modeling with AMOS : |
Includes bibliographical references (p. 165) and index.
TOC Random Number Generators --
Generating Random Variates --
Generating Continuous Random Variates --
Generating Discrete Random Variates --
Generating Multivariate Random Variates --
Special Applications --
Output from Simulation Runs --
Analysis of Output Data --
Choosing the Probability Distribution from Data --
Choosing the Probability Distribution When No Data.
This book focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. It illustrates the best ways to select input distributions and parameters with or without sample data.
AS
Tahur Ahmed
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