The Online Books Page

Statistics -- Data processing

See also what's at your library, or elsewhere.

• Statistics
• Data processing

• Statistics -- Data processing -- Periodicals
• Mathematical statistics -- Data processing
• Human rights -- Statistics -- Data processing

• Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Creative Commons online edition, 2021), by Chester Ismay and Albert Young-Sun Kim (illustrated HTML with commentary at moderndive.com)
• An Introduction to R: Notes on R, A Programming Environment for Data Analysis and Graphics (electronic edition, 2008), by W. N. Venables, D. M. Smith, and R Development Core Team
  • HTML at r-project.org
  • PDF at r-project.org
• The R Inferno (2011), by Patrick Burns (PDF with commentary at burns-stat.com)
• Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio)

• Journal of Statistical Software (1997-) (full serial archives)

• Computer Age Statistical Inference: Algorithms, Evidence and Data Science (c2016), by Bradley Efron and Trevor Hastie (PDF with commentary at Stanford)

• Data Science: A First Introduction (Boca Raton: CRC Press, 2022), by Tiffany-Anne Timbers, Trevor Campbell, and Melissa Lee (illustrated HTML with commentary at datasciencebook.ca)

• Dynamics of the Vietnam War: A Quantitative Analysis and Predictive Computer Simulation (Columbus, OH: Ohio State University Press, c1974), by Jeffrey S. Milstein (PDF from Ohio State University Press)

• Practical Regression and Anova using R (final web version, 2002), by Julian James Faraway (PDF with commentary at r-project.org)

• Time Series Analysis and its Applications, With R Examples (authors' free electronic edition, similar to published fourth edition; 2016), by Robert H. Shumway and David S. Stoffer (PDF with commentary at Pitt)

• Making the Case: Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis (Washington: American Association for the Advancement of Science, c2000), ed. by Patrick Ball, Herbert F. Spirer, and Louise Spirer (PDF at hrdag.org)

Items below (if any) are from related and broader terms.

• Introductory Statistics (electronic edition, c2018), by Barbara S. Illowsky and Susan L. Dean (illustrated HTML and PDF with commentary at openstax.org)
• Concepts and Applications of Inferential Statistics (electronic edition, c2015), by Richard Lowry (Javascript-dependent illustrated HTML at vassarstats.net)
• Statistics Done Wrong: The Woefully Complete Guide (Creative Commons-licensed online edition, c2013), by Alex Reinhart (illustrated HTML with commentary at refsmmat.com)
• Introduction to Statistical Thought (multiple languages; c2005), by Michael Lavine (PDF files with commentary at umass.edu)
• Introductory Statistics: Concepts, Models, and Applications (free online edition, revised 1998), by David Stockburger (frame-dependent illustrated HTML with commentary at Missouri State)
• Statistical Methods Applied to Experiments in Agriculture and Biology (fourth edition; Ames, IA: Iowa State College Press, c1946), by George W. Snedecor (page images at HathiTrust)
• An Introduction to Statistical Learning, With Applications in R (corrected first edition and second edition; 2017 and 2021), by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (PDF with commentary at statlearning.com)
• Applied General Statistics (New York: Prentice-Hall, 1940), by Frederick Emory Croxton and Dudley J. Cowden (page images at HathiTrust)
• Elements of Statistics; With Application to Economic Data (second edition; Bloomington, IN: Principia Press, c1937), by Harold T. Davis and W. F. C. Nelson (page images at HathiTrust; US access only)
• Calculation and Interpretation of Analysis of Variance and Covariance (ca. 1934), by George W. Snedecor (page images at HathiTrust)
• Introduction to Data Science (version 3; c2013), by Jeffrey M. Stanton, contrib. by Robert W. De Graaf (PDF with commentary at Syracuse)
• Statistics for the Social and Behavioral Sciences (c1987), by David A. Kenny (PDF at davidakenny.net)
• Electronic Statistics Textbook, by StatSoft (Firm) (frame-dependent illustrated HTML at statsoft.com)
• A First Course in Statistical Method (New York and London: McGraw-Hill Book Co, 1925), by George Irving Gavett (page images at HathiTrust)
• A New View of Statistics (electronic edition, with external links), by Will G. Hopkins (frame-dependent illustrated HTML at sportsci.org)
• Statistical Methods for Research Workers (Edinburgh and London: Oliver and Boyd, 1925), by Ronald Aylmer Fisher (page images at HathiTrust; US access only)
• Introduction to Probability, Statistics and Random Processes (electronic edition, with videos and interactive calculators), by Hossein Pishro-Nik (HTML and PDF files with commentary at probabilitycourse.com)
• Learning Statistics With R, by Danielle Navarro (multiple formats with commentary at learningstatisticswithr.com)
• Probability and Statistics EBook, by SOCR (Project) (illustrated HTML at UCLA)
• Engineering Statistics and Quality Control (New York et al.: McGraw-Hill, 1953), by Irving W. Burr (page images at HathiTrust)
• Dynamic Economics: Theoretical and Statistical Studies of Demand, Production and Prices (Cowles Foundation monograph #1; Bloomington, IN: Principia Press, 1934), by Charles Frederick Roos (page images at HathiTrust)

• Think Stats: Probability and Statistics for Programmers (Needham, MA: Green Tea Press, c2011), by Allen Downey (PDF and HTML with commentary at Green Tea Press)

• Applied General Statistics (New York: Prentice-Hall, 1940), by Frederick Emory Croxton and Dudley J. Cowden (page images at HathiTrust)

• The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition, 2009), by Trevor Hastie, Robert Tibshirani, and J. H. Friedman (PDF with commentary at Stanford)

• Spanish Journal of Statistics (full serial archives)
• Statistical Yearbook (current and past editions, 1948-), by United Nations (full serial archives)
• Electronic Journal of Statistics (2007-) (full serial archives)
• Annals of the Institute of Statistical Mathematics (partial serial archives)
• Allgemeines Statistisches Archiv (in German) (partial serial archives)
• Journal of the American Statistical Association (partial serial archives)
• Journal of the Royal Statistical Society (partial serial archives)
• The Review of Economic Statistics (partial serial archives)
• Journal of the Statistical Society of London (full serial archives)
• Proceedings of the Statistical Society of London (full serial archives)
• Bulletin of the International Statistical Institute (full serial archives)
• The World Almanac (partial serial archives)
• Biometrika (partial serial archives)

• Think Stats: Probability and Statistics for Programmers (Needham, MA: Green Tea Press, c2011), by Allen Downey (PDF and HTML with commentary at Green Tea Press)

• Advanced High School Statistics (2018), by David M. Diez, Christopher D. Barr, Mine Çetinkaya-Rundel, and Leah Dorazio (PDF with commentary at openintro.org)
• CK-12 Advanced Probability and Statistics (second edition, c2014), by Raja Almukkahal, Danielle DeLancey, Ellen Lawsky, Brenda Meery, and Larry Ottman (PDF at nclor.org)

More items available under broader and related terms at left.