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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Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Hardcover. Condition: Fine. No Jacket. 1st Edition. This is a fine, unmarked, hardcover first edition copy, no DJ, white spine, 608 pages with index. Seller Inventory # 103349