Statistical Models in S

by T.J. Hastie (Editor)

Overview

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.

Product Details

ISBN-13:	9781351414227
Publisher:	CRC Press
Publication date:	11/01/2017
Sold by:	Barnes & Noble
Format:	eBook
Pages:	624
File size:	11 MB
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About the Author

Hastie, T.J.

Table of Contents

1 An Appetizer, 2 Statistical Models, 3 Data for Models, 4 Linear Models, 5 Analysis of Variance; Designed Experiments, 6 Generalized Linear Models, 7 Generalized Additive Models, 8 Local Regression Models, 9 Tree-Based Models, 10 Nonlinear Models, A Classes and Methods: Object-oriented Programming in S, B S Functions and Classes, References, Index