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Statistical Models in S - J. M. Chambers

Statistical Models in S

By: J. M. Chambers (Editor), T.J. Hastie (Editor)

Hardcover | 1 October 1991 | Edition Number 1

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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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