Statistical Models in S (eBook, ePUB)

Redaktion: Hastie, T. J.

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 624
• Erscheinungstermin: 1. November 2017
• Englisch
• ISBN-13: 9781351414227
• Artikelnr.: 50211880

Autorenporträt

Hastie, T.J.

Inhaltsangabe

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