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Statistical Models in S

Editat de J. M. Chambers, T.J. Hastie
en Limba Engleză Hardback – oct 1991
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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Specificații

ISBN-13: 9780412830402
ISBN-10: 041283040X
Pagini: 624
Dimensiuni: 156 x 234 x 37 mm
Greutate: 1.31 kg
Ediția:UK edition
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Professional

Cuprins

1 An Appetizer, 2 Statistical Models, 3 Data for Models, 4 Linear Models, 5 Analysis of Variance; Designed Experiments, 6 Generalized Linear Models, 7 Generalized Additive Models, 8 Local Regression Models, 9 Tree-Based Models, 10 Nonlinear Models, A Classes and Methods: Object-oriented Programming in S, B S Functions and Classes, References, Index

Descriere

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.