Need another excuse to treat yourself to a new book this week Weve got you covered with the buzziest new releases of the day.Reply Cindy Bouchard says: February 22, 2012 at 7:32 pm Writing a great article is about flair and passion.But for now well start off with just one several books: The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and Jerome Friedman.
Fundamentals Of Statistics By S K Gupta Download Link IntroductionDownload link Introduction to Statistical Thought by Michael Lavine. The book is organized into seven chapters: Probability, Modes of Inference, Regression, More Probability, Special Distributions, More Models, and Mathematical Statistics. Here is a favoring review the book received in JASA. Download link (approx. Street-Fighting Mathematics by Sanjoy Mahajan. Download link Statistical Analysis with the General Linear Model by Miller and Haden. This textbook is intended for introductory statistics courses. R is not used in this book. Download link Using R for Introductory Statistics by John Verzani Publisher: Chapman HallCRC 2004 ISBNASIN: 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. Download link R Graphics (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 Download link (see scripts and images here ) Using R Download link R intro Download link Psychometric Theory with Applications in R by William Revelle (a work in progress) Download link A great long list of R related texts, for free download, can be found here. Using Graphs Instead of Tables website link (This web page accompanies the article Using Graphs Instead of Tables in Political Science, by Jonathan Kastellec and Eduardo Leoni, which appears in the December 2007 issue of Perspectives on Politics. Fundamentals Of Statistics By S K Gupta Code For AllIt contains complete replication code for all the graphs that appear in the text) IPSUR: Introduction to Probability and Statistics Using R by G. Jay Kerns, is FREE (in the GNU sense of the word) and comes with a plugin for Rcmdr. Hewson. 189 pages. Download link (first discovered through open text book blog ) R Programming a wikibook. PDF version is available as of yet) Think Stats direct PDF link Modeling and Solving Linear Programming with R free (pdf) download link Several of these books were discovered through a CrossValidated discussion: Know of any more e-books freely available for download Please write to us about them in the comments. Jay Kerns recently published an Introduction to Probability and Statistics Using R book 1 that was generated using LyX with Sweave. The book and the source files are available for download, under the free GNU FDL licence. Reply Tal Galili says: July 31, 2010 at 8:45 am Thanks Liviu for the link I recently came by that and intended to add it to the article. BTW, notice that the book is not yet finished (at least when I checked it a couple of days ago) Best, Tal Reply Liviu says: July 31, 2010 at 8:56 am The book is indeed work-in-progress. I am currently reading it and although not yet complete, it seems a good, self-contained introduction to stats with R (and Rcmdr). It would probably make sense to perceive it as a package in development, which has just hit 1.0. In the preface, the author kindly asks for contributions (as per GNU FDL). Cheers Liviu Reply Pingback: Visualization of regression coefficients (in R) sumber referensi statistika toyin says: May 9, 2011 at 10:31 am thanks for this. Reply Pingback: Calling R lovers and bloggers to work together on The R Programming wikibook R-statistics blog ystein Srensen says: December 7, 2011 at 3:29 am Causal Inference, Miguel Hernan and James Robins: Reply isomorphisms says: December 11, 2011 at 4:40 am Verzani is the best out of those (to my knowledge). Julian James Faraway: Applied Linear Models with R, is also good. And why not throw in some Shalizi on nonparametric stats Reply Tal Galili says: November 30, 2013 at 11:48 am If youd be willing to suggest links (for free, legitimate, downloads) Id be happy to add them Reply isomorphisms says: December 12, 2013 at 9:28 am Faraway PDF Shalizi page with PDFs Reply berihun reda says: September 1, 2015 at 1:29 pm i am economics post graduate student in university of gondar so i need a hand suggestion about stastics Reply berihun reda says: September 1, 2015 at 1:33 pm 2. If a random variable X has a mean of 2 and a variance of 3, what is the expected value for the random variable Y 2X2 5X 4 guest says: January 20, 2012 at 1:36 pm Modeling With Data by Ben Klemens, though this is more doing statistical analyses with C Reply Brian says: November 30, 2013 at 12:21 pm A very sober and encompassing book for any data analyist. I think this would be a worthy addition to the list, as well.
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