Statistical Models in S

Statistical Models in S

Author
John M. Chambers
Publisher
Chapman and Hall/CRC
Language
English
Edition
1
Year
1991
Page
500
ISBN
978-0-412-83040-2
File Type
pdf
File Size
14.1 MiB

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.

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