T.J. Hastie – författare

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6 produkter

Generalized Additive Models
AvT.J. Hastie,R.J. Tibshirani
Inbunden, Engelska, 1990
2 476 kr
Skickas inom 10-15 vardagar
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
Statistical Models in S
AvJ. M. Chambers,T.J. Hastie
Inbunden, Engelska, 1991
3 022 kr
Skickas inom 10-15 vardagar
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.
Statistical Models in S
AvT.J. Hastie,J. M. Chambers
E-bok
Engelska, 2017
3 558 kr
Läs direkt efter köp
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.
Statistical Models in S
AvT.J. Hastie,J. M. Chambers
E-bok
PDF, Engelska, 2017
3 558 kr
Läs direkt efter köp
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.
Generalized Additive Models
AvT.J. Hastie
E-bok
Engelska, 2017
2 304 kr
Läs direkt efter köp
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
Generalized Additive Models
AvT.J. Hastie
E-bok
PDF, Engelska, 2017
2 304 kr
Läs direkt efter köp
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.

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T.J. Hastie – författare

Generalized Additive Models

Statistical Models in S

Statistical Models in S

Statistical Models in S

Generalized Additive Models

Generalized Additive Models

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