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Description
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.
Author: Robert N. Rodriguez
Publisher: SAS Institute
Published: 05/19/2023
Pages: 464
Binding Type: Paperback
Weight: 2.35lbs
Size: 11.00h x 8.50w x 0.94d
ISBN13: 9781635261554
ISBN10: 1635261554
BISAC Categories:
- Computers | Mathematical & Statistical Software
- Computers | Business & Productivity Software | General

