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Statistical Models in S

J. M. Chambers, T.J. Hastie




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 | #2200969 in Books |  1991-10-01 | Original language:English | PDF # 1 |  9.50 x6.25 x1.25l, | File type: PDF | 608 pages

||1 of 1 people found the following review helpful.| Modelling data with the S (or R) language|By R. J. V. Jackson|This describes the panoply of programs available in the
R language for the exploration of data. One needs some
familiarity with statistics, but it is amazing to see what the
crew at AT&T has done with their "language."|0 of 0 people found the following review helpful.| Good

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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