Building Regression Models with SAS (ePub)

Name: Building Regression Models with SAS
Brand: SAS Institute
SKU: 148190033
Price: 70.49 EUR
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A Guide for Data Scientists (Sprache: Englisch)

Autor: Robert N. Rodriguez

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Building Regression Models with SAS, Robert N. Rodriguez

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Advance your skills in building predictive models with SAS!

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Advance your skills in building predictive models with SAS!

Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. By emphasizing introductory examples and interpretation of output, this book provides readers with a clear understanding of how to build the following types of models:

general linear models
quantile regression models
logistic regression models
generalized linear models
generalized additive models
proportional hazards regression models
tree models
models based on multivariate adaptive regression splines

Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance.

Autoren-Porträt von Robert N. Rodriguez

Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. This book is based on his experience learning about the needs of SAS customers at user events and working with SAS/STAT developers to meet those needs. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS. He is a Fellow of the American Statistical Association and received the ASA Founders Award in 2009.

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Bibliographische Angaben

Autor: Robert N. Rodriguez
2023, 464 Seiten, Englisch
Verlag: SAS Institute
ISBN-10: 1951684001
ISBN-13: 9781951684006
Erscheinungsdatum: 18.04.2023

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

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Dateiformat: ePub
Größe: 59 MB
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