Generalized Additive Models (Texts in Statistical Science) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Generalized Additive Models (Texts in Statistical Science)

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Simon Wood 作者
Chapman & Hall/CRC
譯者
2006-02-27 出版日期
391 頁數
USD 79.95 價格
Hardcover
叢書系列
9781584884743 圖書編碼

Generalized Additive Models (Texts in Statistical Science) 在線電子書 圖書標籤: 統計學習  R  Models  statistics  Additive  Wood  Generalized  統計學   


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Generalized Additive Models (Texts in Statistical Science) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Generalized Additive Models (Texts in Statistical Science) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Generalized Additive Models (Texts in Statistical Science) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Generalized Additive Models (Texts in Statistical Science) 在線電子書 用戶評價

評分

Concise, clear, readable. To work on: Chap 4, 6

評分

Concise, clear, readable. To work on: Chap 4, 6

評分

lucid text book, fantastic intro to GAM, basic knowledge of GLM/GLMM are also included.

評分

Concise, clear, readable. To work on: Chap 4, 6

評分

Concise, clear, readable. To work on: Chap 4, 6

Generalized Additive Models (Texts in Statistical Science) 在線電子書 著者簡介


Generalized Additive Models (Texts in Statistical Science) 在線電子書 著者簡介


Generalized Additive Models (Texts in Statistical Science) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Generalized Additive Models (Texts in Statistical Science) 在線電子書 圖書描述

An Introduction to Generalized Additive Models with R provides readers with a thorough understanding of the theory and practical applications of GAMs to enable informed use of these very flexible tools and other advanced related models. The author's approach is based on a framework of penalized regression splines, and he provides a gentle introduction through motivating chapters on linear and generalized linear models. The author uses the freely available R software throughout to explain the underlying theory and illustrate the practicalities of linear, generalized linear, and generalized additive models. The text is accompanied by a supporting Web site that contains R code and the datasets used in the book.

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