Simulating Data with SAS - Tapa blanda

Wicklin, Rick

 
9781612903323: Simulating Data with SAS
Tapa blanda
ISBN 10: 1612903320 ISBN 13: 9781612903323
Editorial: SAS Institute, 2013

Sinopsis

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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Acerca del autor

Rick Wicklin is a principal researcher in computational statistics at SAS, where he develops and supports the IML procedure and the SAS/IML Studio application. He received a PhD from Cornell University and has been a SAS user since 1997. Rick has presented numerous tutorials and papers at statistical and SAS users group conferences and is active in the American Statistical Association. Rick maintains a blog for statistical programmers at blogs.sas.com/content/iml/.

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Editorial
SAS Institute
Año de publicación
2013
Idioma
Inglés
ISBN 10 
1612903320
ISBN 13 
9781612903323
Encuadernación
Tapa blanda
Número de páginas
362
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781642955958: Simulating Data with SAS (Hardcover edition)

Edición Destacada

ISBN 10:  1642955957 ISBN 13:  9781642955958
Editorial: SAS Institute Inc., 2019
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