Building Regression Models with SAS: A Guide for Data Scientists

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.

© 2023 SAS Institute (E-bog): 9781951684006

Release date

E-bog: 18. april 2023