The Online Books Page

Random data (Statistics)

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

• Statistics
• Stochastic processes

• Numbers, Random

• Data, Random (Statistics)

• A Million Random Digits with 100,000 Normal Deviates (1955), by Rand Corporation (HTML and text at rand.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)
• On the Principles of Statistical Inference: Four Lectures Delivered at the University of Notre Dame, February 1941 (Notre Dame Mathematical Lectures #1; c1942), by Abraham Wald (PDF files at Project Euclid)
• 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)

• 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)

• 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)

• Annual Review of Statistics and its Application (partial serial archives)
• Spanish Journal of Statistics (full serial archives)
• Statistical Yearbook (current and past editions, 1948-), by United Nations (full serial archives)
• Jahrbücher für Nationalökonomie und Statistik (partial 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)

• Active Statistics (c2024), by Andrew Gelman and Aki Vehtari (PDF with commentary at github.io)
• 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)

• Statistical Methods for Research Workers (Edinburgh and London: Oliver and Boyd, 1925), by Ronald Aylmer Fisher (page images at HathiTrust; US access only)
• Some Properties of the Hypergeometric Distribution With Applications to Zoological Sample Censuses (UC Publications in Statistics, v. 1 #7; Berkeley and Los Angeles: University of California Press, 1951), by D. G. Chapman (page images at HathiTrust)
• 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)

More items available under broader and related terms at left.