The Online Books Page

Sampling (Statistics)

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

• Statistics

• Mathematical statistics

• Numbers, Random

• Random sampling
• Statistics of sampling

• Randomness and Optimal Estimation in Data Sampling (second edition, 2002), by Mohammad Khosnevisan, Housila P. Singh, S. Saxena, Sarjinder Singh, and Florentin Smarandache (PDF at UNM)
• Distance Sampling: Estimating Abundance of Biological Populations (c1993), by S. T. Buckland, David R. Anderson, Kenneth P. Burnham, and J. L. Laake (PDF files with commentary at colostate.edu)
• 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)

• 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.

• 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)
• Statistical Learning With Sparsity: The Lasso and Generalizations (corrected online edition, 2016), by Trevor Hastie, Robert Tibshirani, and Martin Wainwright (PDF with commentary at Stanford)
• SticiGui: Statistics Tools for Internet and Classroom Instruction (c1997-2011), by Philip B. Stark (Java-dependent HTML at Berkeley)
• Modeling with Data (Princeton : Princeton University Press, c2009), by Ben Klemens (PDF with commentary at modelingwithdata.org)
• Selected Papers (c1985), by Herbert Robbins, ed. by T. L. Lai and David Siegmund (PDF with commentary at springer.com)
• StatLect: Lectures on Probability Theory and Mathematical Statistics (online edition, c2010), by Marco Taboga (illustrated HTML with commentary at statlect.com)
• Mathematics of Statistics (2 volumes (first volume is second edition); New York: D. Van Nostrand, 1947), by John F. Kenney (page images at HathiTrust)
• Mathematical Statistics (Carus Mathematical Monograph #3; Chicago: Pub. for the Mathematical Association of America by the Open Court Pub. Co., c1927), by H. L. Rietz (page images at HathiTrust)
• HyperStat Online (with additional material), by David M. Lane (frame-dependent HTML at davidmlane.com)
• Cybernetics: or, Control and Communication in the Animal and the Machine (first edition; New York: J. Wiley and Sons, c1948), by Norbert Wiener (page images at HathiTrust)
• Calculation of Home Range and Density of Small Mammals (Public Health Monograph #55 (Public Health Service Publication #592); Washington: U. S. Dept. of Health, Education, and Welfare, Public Health Service, 1958), by John B. Calhoun and James U. Casby (page images at HathiTrust)
• Discriminant Analysis and Clustering, by National Research Council (page images with commentary at NAP)

• Massive Data Sets: Proceedings of a Workshop (1997), by National Research Council Committee on Applied and Theoretical Statistics (page images and partial HTML/audio at NAP)

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

• Experimental Statistics (National Bureau of Standard handbook #91; Washington: GPO, 1963), by Mary Gibbons Natrella (page images at HathiTrust)

• Electronic Journal of Statistics (2007-) (full serial archives)
• Statistics Surveys (2007-) (full serial archives)
• Annals of the Institute of Statistical Mathematics (partial serial archives)
• The Annals of Mathematical Statistics (full serial archives)

• 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)

• The Future of Statistical Software: Proceedings of a Forum (1991), by National Research Council Committee on Applied and Theoretical Statistics (page images with commentary at NAP)

• Probability and Statistics (Basic) (Palo Alto, CA: CK-12 Foundation, c2009), ed. by Brenda Meery (multiple formats at archive.org)

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

• Correlation and Causality (revised electronic edition, 2004), by David A. Kenny (PDF at davidakenny.net)

• Tables of Normal Probability Functions (Washington: GPO, 1953), by Mathematical Tables Project (U.S.) (page images at HathiTrust)
• Tables of Probability Functions (2 volumes; Washington: GPO, 1941-1942), by Project for the Computation of Mathematical Tables (U.S.) and Mathematical Tables Project (U.S.) (page images at HathiTrust)
• Probability and Theory of Errors, by Robert Simpson Woodward (page images at Cornell)

• Randomness and Optimal Estimation in Data Sampling (second edition, 2002), by Mohammad Khosnevisan, Housila P. Singh, S. Saxena, Sarjinder Singh, and Florentin Smarandache (PDF at UNM)
• Analog Estimation Methods in Econometrics (1988), by Charles F. Manski (PDF files at Berkeley)
• Nonparametric Density Evaluation: The L1 View (1985), by Luc Devroye and László Györfi (PDF at devroye.org)
• The Art of Insight in Science and Engineering: Mastering Complexity (Cambridge, MA and London: MIT Press, c2014), by Sanjoy Mahajan (PDF with commentary at MIT Press)
• Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving (Cambridge, MA and London: MIT Press, c2010), by Sanjoy Mahajan (PDF with commentary at MIT Press)
• Efficient Estimation With A Priori Information (Cowles Foundation monograph #23; New Haven and London: Yale University Press, 1973), by Thomas J. Rothenberg (PDF at Yale)

• Statistical Learning With Sparsity: The Lasso and Generalizations (corrected online edition, 2016), by Trevor Hastie, Robert Tibshirani, and Martin Wainwright (PDF with commentary at Stanford)
• Least-Squares Analysis of Data with Unequal Subclass Numbers (Washington, DC: Agricultural Research Service, United States Dept. of Agriculture, 1960), by Walter R. Harvey (page images at HathiTrust)
• General Principles of the Method of Least Squares, with Applications, by Dana P. Bartlett (page images at Cornell)
• A Treatise on the Adjustment of Observations, by T. W. Wright (page images at Cornell)
• A General Analytical Solution to the Problem of Photogrammetry (declassified report originally distributed from Aberdeen Proving Ground, MD: Ballistic Research Laboratories, 1959), by Hellmut H. Schmid (PDF with commentary at dtic.mil)

• Statistical Learning With Sparsity: The Lasso and Generalizations (corrected online edition, 2016), by Trevor Hastie, Robert Tibshirani, and Martin Wainwright (PDF with commentary at Stanford)

• Least-Squares Analysis of Data with Unequal Subclass Numbers (Washington, DC: Agricultural Research Service, United States Dept. of Agriculture, 1960), by Walter R. Harvey (page images at HathiTrust)
• Bayesian Spectrum Analysis and Parameter Estimation (New York: Springer-Verlag, 1988), by G. Larry Bretthorst (PDF at wustl.edu)

• Nonparametric Methods in Statistics (New York: J. Wiley and Sons; London: Chapman and Hall, c1957), by D. A. S. Fraser (page images at HathiTrust)
• Nonparametric Density Evaluation: The L1 View (1985), by Luc Devroye and László Györfi (PDF at devroye.org)
• Discriminatory Analysis: Nonparametric Discrimination (2 typescript papers; 1951-1952), by Evelyn Fix and J. L. Hodges (page images at HathiTrust)

• The Art of Insight in Science and Engineering: Mastering Complexity (Cambridge, MA and London: MIT Press, c2014), by Sanjoy Mahajan (PDF with commentary at MIT Press)

• 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)
• The Analysis of Economic Time Series (Cowles Foundation monograph #6; Bloomington, IN: Principia Press, 1941; with added supplement from 1987), by Harold T. Davis, contrib. by R. W. Farebrother
  • book: PDF at Yale
  • 1987 supplement: PDF at Wayback Machine
• Extrapolation, Interpolation, and Smoothing of Stationary Time Series, With Engineering Applications (second printing; Cambridge, MA: Technology Press of the Massachusetts Institute of Technology; London: J. Wiley and Sons, 1950), by Norbert Wiener (page images at HathiTrust)
• Statistical Inference in Dynamic Economic Models (Cowles Foundation monograph #10; New York: J. Wiley and Sons; London: Chapman and Hall, 1950), ed. by Tjalling C. Koopmans (PDF at Yale)
• A Method of Isolating Sinusoidal Components in Economic Time Series, Illustrated by an Application to Stock Market Price Movements (Michigan Business Studies v8 #4; 1938), by O. W. Blackett and Winifred P. Wilson (page images at HathiTrust)

More items available under broader and related terms at left.