Linear Models with R 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Linear Models with R

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Julian J. Faraway 作者
Chapman and Hall/CRC
譯者
2004.07 出版日期
240 頁數
$73.95 價格
Hardcover
叢書系列
9781584884255 圖書編碼

Linear Models with R 在線電子書 圖書標籤: R  數據挖掘  編程  統計學  統計  Statistics  教材·看看我都學瞭啥  強烈推薦   


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Linear Models with R 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Linear Models with R 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Linear Models with R 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Linear Models with R 在線電子書 用戶評價

評分

原理部分用瞭很多綫性代數的內容,看起來略吃力,於是去補瞭幾集Gilbert Strang的綫性代數。擼完還是挺有收獲的,但是僅限於基本的綫性迴歸(連續的自變量)。後麵到ANOVA以及ANCOVA比較跳躍,又不明白瞭。打算擼彆的。

評分

neat, neat, neat

評分

neat, neat, neat

評分

7.5 Faraway, Julian J (2005), Linear Models with R, Chapman & Hall/CRC.

評分

7.5 Faraway, Julian J (2005), Linear Models with R, Chapman & Hall/CRC.

Linear Models with R 在線電子書 著者簡介


Linear Models with R 在線電子書 著者簡介


Linear Models with R 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Linear Models with R 在線電子書 圖書描述

Review

Dr Faraway uses many examples and graphical procedures to illustrate the methods. This is a great strength of the book. …Linear Models with R is one of several books appearing to make R more accessible by bringing together functions from a number of packages and illustrating their use. From this perspective alone it is an important contribution. …I feel this book does a nice job of describing the methods available in linear modeling and illustrating the realistic implementation of these methods in a careful data analysis.

-Statistics in Medicine, 2006

One danger with applied books such as this is that they become recipe lists of the kind 'press this key to get that result.' This is not so with Faraway's book. Throughout, it gives plenty of insight on what is going on, with comments that even the seasoned practitioner will appreciate. Interspersed with R code and the output that it produces one can find many little gems of what I think is sound statistical advice, well epitomized with the examples chosen…I read it with delight and think that the same will be true with anyone who is engaged in the use or teaching of linear models…I find this book a valuable buy for anyone who is involved with R and linear models, and it is essential in any university library where those topics are taught.

-Journal of the Royal Statistical Society

One danger with applied books such as this is that they become recipe lists of the kind press this key to get that result. This is not so with Faraways book. Throughout, it gives plenty of insight on what is going on, with comments that even the seasoned practitioner will appreciate. Interspersed with R code and the output that it produces one can find many little gems of what I think is sound statistical advice, well epitomized with the examples chosen…I read it with delight and think that the same will be true with anyone who is engaged in the use or teaching of linear models…I find this book a valuable buy for anyone who is involved with R and linear models, and it is essential in any university library where those topics are taught.

-Journal of the Royal Statistical Society

Overall, Linear Models with R is well written and, given the increasing popularity of R, it is an important contribution.

-Technometrics, Vol. 47, No. 3, August 2005

The book is very comprehensibly written and can therefore be recommended for beginners in linear models. It is clearly and simply explained how to use R and which packages are necessary to analyze linear models. …All in all, this book is recommendable as a textbook for computational linear regression courses and therefore for students and lecturers, but also for applied statisticians who want to get started on regression analysis using the software R.

-Biometrics

The book is very comprehensibly written and can therefore be recommended for beginners in linear models. It is clearly and simply explained how to use R and which packages are necessary to analyze linear models. …All in all, this book is recommendable as a textbook for computational linear regression courses and therefore for students and lecturers, but also for applied statisticians who want to get started on regression analysis using the software R.

-Biometrics

There are many books on regression and analysis of variance on the market, but this one is unique and has a novel approach to these statistical methods. The author uses R throughout the text to teach data analysis…The text also contains a wealth of references for the reader to pursue on related issues. This book is recommended for all who wish to use R for statistical investigations.

-Short Book Reviews of the International Statistical

Institute

There are many books on regression and analysis of variance on the market, but this one is unique and has a novel approach to these statistical methods. The author uses R throughout the text to teach data analysis…The text also contains a wealth of references for the reader to pursue on related issues. This book is recommended for all who wish to use R for statistical investigations.

-Short Book Reviews of the International Statistical

Institute

…Dr. Faraway uses many examples and graphical procedures to illustrate the methods. This is a great strength of the book. … Linear Models with R is one of several books appearing to make R more accessible by bringing together functions from a number of packages and illustrating their use. From this perspective alone it is an important contribution. …I feel this book does a nice job of describing the methods available in linear modeling and illustrating the realistic implementation of these methods in a careful data analysis. …

-Statistics in Medicine, 2006

Product Description

This textbook focuses on the practice of regression and analysis of variance. Readers will learn which methods are available and the various situations in which they can be applied. Numerous examples clarify the use of the techniques and demonstrate what conclusions can be made. The author places less emphasis on mathematical theory, partly because some prior knowledge is assumed and partly because the issues are better tackled elsewhere. An interesting aspect of this book is the author's emphasis on statistical theory and qualitative aspects of the topic. He highlights the importance of data analysis and stresses its inportance through use of the inclusion of R software.

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