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Simulating data with SAS /

Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wicklin, Rick
Autor Corporativo: SAS Institute
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, N.C. : SAS Institute, ©2013.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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505 0 |a Introduction to simulation -- Simulating data from common univariate distributions -- Preliminary and background information -- Simulating data to estimate sampling distributions -- Using simulation to evaluate statistical techniques -- Strategies for efficient and effective simulation -- Advanced simulation of univariate data -- Simulating data from basic multivariate distributions -- Advanced simulation of multivariate data -- Building correlation and covariance matrices -- Simulating data for basic regression models -- Simulating data for advanced regression models -- Simulating data from times series models -- Simulating data from spatial models -- Resampling and bootstrap methods -- Moment matching and the moment-ratio diagram. 
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504 |a Includes bibliographical references and index. 
520 8 |a Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners. As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software. 
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