Statistics -- MethodologySee also what's at your library, or elsewhere.
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Filed under: Statistics -- Methodology
Filed under: Statistics -- Methodology -- PeriodicalsFiled under: Statistics -- Graphic methods
Filed under: Correlation (Statistics)
Filed under: Spatial analysis (Statistics) -- Computer programsFiled under: Cluster analysis
Filed under: Document clusteringFiled under: Spatial analysis (Statistics)
Items below (if any) are from related and broader terms.
Filed under: Statistics- 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)
Filed under: Statistics -- Computer programs
Filed under: 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
- 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)
Filed under: Statistics -- Periodicals
Filed under: Statistics -- Study and teachingMore items available under broader and related terms at left. |