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Introduction to Probability and Statistics for Data Science with R

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Chapter 18: Generalized Linear Models and Regression Trees

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Chapter 18: Generalized Linear Models and Regression Trees

pp. 684-750

Authors

Steven E. Rigdon
, Saint Louis University, Missouri,
Ronald D. Fricker, Jr
, Virginia Polytechnic Institute and State University,
Douglas C. Montgomery
, Arizona State University
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Summary

In Chapter 14 we studied multiple regression and polynomial regression and how these techniques can be used to determine the relationship between an outcome y and several predictor variables x1, x2, ,…, xp.

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