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Statistical Models in S

Statistical Models in S

John M. Chambers
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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.
年:
1991
版本:
1
出版商:
Chapman and Hall/CRC
語言:
english
頁數:
500
ISBN 10:
041283040X
ISBN 13:
9780412830402
系列:
Chapman & Hall Computer Science Series
文件:
PDF, 14.15 MB
IPFS:
CID , CID Blake2b
english, 1991
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