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 COP 2013 Practical nonparametric statistics / | 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 AGC 2013 Categorical data analysis / | 519.535 DES 2012 Design and analysis of experiments. | 519.535 EVI 2011 An introduction to applied multivariate analysis with R / |
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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