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	<title>R-statistics blog &#187; Trevor Hastie</title>
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	<link>http://www.r-statistics.com</link>
	<description>Writing about statistics with R, and open source stuff (software, data, community)</description>
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		<title>Free statistics e-books for download</title>
		<link>http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/</link>
		<comments>http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/#comments</comments>
		<pubDate>Sun, 25 Oct 2009 07:31:02 +0000</pubDate>
		<dc:creator>Tal Galili</dc:creator>
				<category><![CDATA[R]]></category>
		<category><![CDATA[statistics]]></category>
		<category><![CDATA[book]]></category>
		<category><![CDATA[ebook]]></category>
		<category><![CDATA[Jerome Friedman]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Robert Tibshirani]]></category>
		<category><![CDATA[statistical learning]]></category>
		<category><![CDATA[Trevor Hastie]]></category>

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		<description><![CDATA[This post will eventually grow to hold a wide list of books on statistics (e-books, pdf books and so on) that are available for free download.  But for now we&#8217;ll start off with just one several books: The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and Jerome Friedman. you can legally download [...]]]></description>
			<content:encoded><![CDATA[<div class="socialize-in-content" style="float:right;"><div class="socialize-in-button socialize-in-button-right"><iframe src="http://www.facebook.com/plugins/like.php?href=http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/&amp;layout=box_count&amp;show_faces=false&amp;width=50&amp;action=like&amp;font=arial&amp;colorscheme=light&amp;height=65" scrolling="no" frameborder="0" style="border:none; overflow:hidden; width:50px !important; height:65px;" allowTransparency="true"></iframe></div><div class="socialize-in-button socialize-in-button-right"><g:plusone size="tall" href="http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/"></g:plusone></div></div><p>This post will eventually grow to hold a wide list of books on statistics (e-books, pdf books and so on) that are available for free download.  But for now we&#8217;ll start off with just <span style="text-decoration: line-through;">one </span> several books:</p>
<ul>
<ul>
<li><em><strong>The Elements of Statistical Learning</strong></em> written by Trevor Hastie, Robert Tibshirani and Jerome Friedman. you can legally download a copy of the book in pdf format from the <a href="http://www-stat.stanford.edu/~tibs/ElemStatLearn/">authors website</a>! <a href="http://www-stat.stanford.edu/~tibs/ElemStatLearn/download.html">Direct download</a> (First discovered on the &#8220;<a href="http://onertipaday.blogspot.com/2009/10/elements-of-statistical-learning.html">one R tip a day</a>&#8221; blog)</li>
<li><a href="http://en.wikibooks.org/wiki/Statistics">Statistics (Probability and Data Analysis)</a> &#8211; a wikibook. <strong><a href="http://upload.wikimedia.org/wikipedia/commons/8/82/Statistics.pdf" rel="nofollow">Download link</a></strong></li>
<li><a href="http://www.math.umass.edu/~lavine/Book/book.html">Introduction to Statistical Thought</a> by Michael Lavine.  The book is organized into seven chapters: “Probability,” “Modes of Inference,” “Regression,” “More Probability,” “Special Distributions,” “More Models,” and “Mathematical Statistics.” and makes extensive use of R.  Here is a favoring review the book received in <a href="http://www.math.umass.edu/~lavine/Book/jasareview.pdf">JASA</a>. 328 pages. <strong><a href="http://www.math.umass.edu/~lavine/Book/book.pdf" rel="nofollow">Download link</a></strong> (approx. 40 mbyte)</li>
<li><a href="http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&amp;tid=12156">Street-Fighting Mathematics</a> by Sanjoy Mahajan. <strong><a href="http://mitpress.mit.edu/books/full_pdfs/Street-Fighting_Mathematics.pdf" rel="nofollow">Download link</a></strong></li>
<li><strong> </strong><a href="http://psy.otago.ac.nz/miller/index.htm#GLMBook">Statistical Analysis with the General Linear Model</a> by Miller and Haden. an introductory textbook describing statistical analysis with analysis of variance (ANOVA, including repeated-measures and mixed designs), simple and multiple regression, and analysis of covariance. 274 pages. <strong><a href="http://www.mediafire.com/?bdggpmmew0z">Download link</a> </strong>(p.s: this book makes no reference to R.  <a href="http://www.r-statistics.com/2010/04/repeated-measures-anova-with-r-tutorials/">see here for R tutorials and functions for performing repeated measures anova</a>)</li>
<li><a href="http://cnx.org/content/col10522/latest/">Collaborative Statistics</a> by Barbara Illowsky and Susan Dean.  This textbook is intended for introductory statistics courses.  627 pages.  R is not used in this book.  <strong><a href="http://cnx.org/content/col10522/1.38/pdf" rel="nofollow">Download link</a></strong></li>
<li><strong><em>Using R for Introductory Statistics</em></strong> by John Verzani Publisher: Chapman &amp; Hall/CRC 2004 ISBN/ASIN: 1584884509 ISBN-13: 9781584884507 Number of pages: 114 Description: The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R. <a href="http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf"><strong>Download link</strong></a></li>
<li><strong><em>R Graphics</em></strong> (Three chapters only) by Paul Murrell ISBN: 9781584884866 ISBN 10: 158488486X Publication Date: July 29, 2005 Number of Pages: 328 Description: Chapter 1: An Introduction to R Graphics Chapter 4: Trellis Graphics: The Lattice Package Chapter 5: The Grid Graphics Model <a href="http://www.stat.auckland.ac.nz/~paul/RGraphics/RGraphicsChapters-1-4-5.pdf"><strong>Download link</strong></a> (see scripts and images <a href="http://www.stat.auckland.ac.nz/~paul/RGraphics/rgraphics.html">here</a>)</li>
<li><strong><em>Using R</em></strong> <a href="http://cran.r-project.org/doc/contrib/usingR.pdf"><strong>Download link</strong></a></li>
<li><strong><em>R intro</em></strong> <strong><a href="http://cran.r-project.org/doc/manuals/R-intro.pdf">Download link</a></strong></li>
<li><em><strong>Psychometric Theory with Applications in R</strong></em> by William Revelle (a work in progress) <a href="http://www.personality-project.org/r/book/" rel="nofollow"><strong>Download link</strong></a></li>
<li>A great long list of R related texts, for free download, can be <a href="http://cran.r-project.org/other-docs.html#english">found here</a>.</li>
<li><strong><em>Using Graphs Instead of Tables</em></strong> <a href="http://tables2graphs.com/doku.php"><strong>website link</strong></a> (This web page accompanies the article &#8220;Using Graphs Instead of Tables in Political Science&#8221;, by Jonathan Kastellec and Eduardo Leoni, which appears in the December 2007 issue of Perspectives on Politics. It contains complete replication code for all the graphs that appear in the text)</li>
<li><strong><a href="http://ipsur.r-forge.r-project.org/book/">IPSUR: Introduction to Probability and Statistics Using R</a></strong> by G. Jay Kerns, is <a href="http://www.gnu.org/copyleft/fdl.html">FREE</a> (in the <a href="http://www.r-statistics.com/2010/07/richard-stallman-talkqa-at-the-user-2010-conference-audio-files-attached/">GNU sense</a> of the word) and comes with<a href="http://ipsur.r-forge.r-project.org/rcmdrplugin/"> a plugin for Rcmdr</a>. 412 pages. <strong><a href="http://ipsur.r-forge.r-project.org/book/download.html" rel="nofollow">Download link</a> </strong>(first discovered through <a href="http://blog.revolutionanalytics.com/2010/07/a-free-book-on-probability-and-statistics-with-r.html">the Revolution blog</a>)</li>
<li><strong><a href="http://knowledgeforge.net/opentextbook/svn/multivariatestatistics/">Multivariate Statistics with R</a></strong> by Paul J. Hewson. 189 pages. <strong><a href="http://knowledgeforge.net/opentextbook/svn/multivariatestatistics/notes.pdf" rel="nofollow">Download link</a> </strong>(first discovered through <a href="http://www.opentextbook.org/2009/04/03/multivariate-statistics-with-r/">open text book blog</a>)</li>
<li><strong><a href="http://en.wikibooks.org/wiki/R_Programming">R Programming</a></strong> &#8211; a wikibook. (no PDF version is available as of yet)</li>
<li><a href="http://pluto.huji.ac.il/~msby/StatThink/index.html">Introduction to Statistical Thinking (With R, Without Calculus)</a> &#8211; By Benjamin Yakir</li>
<li><a href="http://www.math.ku.dk/~sjo/papers/HaldBook.pdf">A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713 to 1935</a> &#8211; By Anders Hald</li>
<li><a href="http://uncertainty.stat.cmu.edu/?p=1">Principles of Uncertainty</a> (direct <a href="http://uncertainty.stat.cmu.edu/wp-content/uploads/2011/05/principles-of-uncertainty.pdf">link to pdf</a>), by Jay Kadane (got <a href="http://xianblog.wordpress.com/2011/10/14/principles-of-uncertainty/">a great review by xian</a>)</li>
</ul>
</ul>
<p>&nbsp;</p>
<p>Several of these books were discovered through a<a href="http://stats.stackexchange.com/questions/614/open-source-statistical-textbooks/"> CrossValidated discussion</a>.</p>
<p>* * *</p>
<p><em>Know of any more e-books freely available for download? Please write to me about them in the comments.</em></p>
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