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This is a section of the Basic Math Library List


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13.b. Statistics
     Statistics. Statistical inference. High-dimensional data analysis. Sequential methods.
     Spatial statistics. Applications.



Statistics: General

  • Brook, Richard J., et al., eds. The Fascination of Statistics New York, NY: Marcel Dekker, 1986.

Campbell, Stephen K. Flaws and Fallacies in Statistical Thinking Englewood Cliffs, NJ: Prentice Hall, 1973.

  • DeGroot, Morris H.; Fienberg, Stephen E.; and Kadane, Joseph B., eds. Statistics and the Law New York, NY: John Wiley, 1986.
    • Deming, W. Edwards. Out of The Crisis Cambridge, MA: MIT Press, 1986.
  • Finkelstein, Michael O. and Levin, Bruce. Statistics for Lawyers New York, NY: Springer-Verlag, 1990.

Folks, J. Leroy. Ideas of Statistics New York, NY: John Wiley, 1981.

Hacking, Ian. Logic of Statistical Inference New York, NY: Cambridge University Press, 1976.

Hand, D.J. and Everitt, B.S., eds. The Statistical Consultant in Action New York, NY: Cambridge University Press, 1987.

Hogg, Robert V., ed. Studies in Statistics Washington, DC: Mathematical Association of America, 1978.

Hollander, Myles and Proschan, Frank. The Statistical Exorcist: Dispelling Statistics Anxiety New York, NY: Marcel Dekker, 1984.

Hooke, Robert. How to Tell the Liars from the Statisticians New York, NY: Marcel Dekker, 1983.

Huff, Darrell and Geis, I. How to Lie with Statistics New York, NY: W.W. Norton, 1954.

  • Jaffe, A.J. and Spirer, Herbert F. Misused Statistics: Straight Talk for Twisted Numbers New York, NY: Marcel Dekker, 1987.
    • Landwehr, James M. and Watkins, Ann E. Exploring Data Palo Alto, CA: Dale Seymour, 1986.
    • Landwehr, James M.; Swift, Jim; and Watkins, Ann E. Exploring Surveys and Information From Samples Palo Alto, CA: Dale Seymour, 1987.

Moroney, M.J. Facts From Figures New York, NY: Penguin, 1957.

Phillips, John L., Jr. How to Think about Statistics New York, NY: W.H. Freeman, 1988.

      • Tanur, Judith M. and Mosteller, Frederick, eds. Statistics: A Guide to the Unknown, Belmont, CA: Wadsworth, 1989. Third Edition.
      • Tufte, Edward R. The Visual Display of Quantitative Information Cheshire, CT: Graphics Press, 1983.
    • Tufte, Edward R. Envisioning Information Cheshire, CT: Graphics Press, 1990.

Wadsworth, Harrison M., ed. Handbook of Statistical Methods for Engineers and Scientists New York, NY: McGraw-Hill, 1990.


Statistics: Introductory Texts

Arney, William R. Understanding Statistics in the Social Sciences New York, NY: W.H. Freeman, 1990.

  • Devore, Jay L. and Peck, Roxy. Statistics: The Exploration and Analysis of Data St.~Paul, MN: West, 1986.
      • Freedman, David, et al. Statistics, New York, NY: W.W. Norton, 1978, 1991. Second Edition.

Groenveld, Richard A. Introductory Statistical Methods Boston, MA: PWS-Kent, 1988.

Kachigan, Sam K. Statistical Analysis: An Interdisciplinary Introduction to Univariate and Multivariate Methods New York, NY: Radius Press, 1986.

    • Koopmans, Lambert H. Introduction to Contemporary Statistical Methods, Boston, MA: PWS-Kent, 1987. Second Edition.

Mallios, William S. Statistical Modeling: Applications in Contemporary Issues Ames, IA: Iowa State University Press, 1989.

  • McClave, James T. and Dietrich, Frank H. Statistics, San Francisco, CA: Dellen, 1982, 1991. Fifth Edition.
      • Moore, David S. Statistics: Concepts and Controversies, New York, NY: W.H. Freeman, 1979, 1991. Third Edition.
    • Moore, David S. and McCabe, George P. Introduction to the Practice of Statistics New York, NY: W.H. Freeman, 1989.

Noether, Gottfried. Introduction to Statistics: A Fresh Approach New York, NY: Springer-Verlag, 1991.

  • Peters, William S. Counting for Something: Statistical Principles and Personalities New York, NY: Springer-Verlag, 1986.
    • Siegel, Andrew F. Statistics and Data Analysis: An Introduction New York, NY: John Wiley, 1988.


Statistics: Elementary

Blalock, Hubert M., Jr. Social Statistics, New York, NY: McGraw-Hill, 1972. Second Edition.

  • Brown, Byron Wm., Jr. and Hollander, Myles. Statistics: A Biomedical Introduction New York, NY: John Wiley, 1977.

Chatfield, Christopher. Problem Solving: A Statistician's Guide New York, NY: Chapman and Hall, 1988.

Cox, C. Philip. A Handbook of Introductory Statistical Methods New York, NY: John Wiley, 1987.

Huck, Schuyler W. and Sandler, Howard M. Statistical Illusions: Problems New York, NY: Harper and Row, 1984.

  • Larsen, Richard J. and Stroup, Donna F. Statistics in the Real World: A Book of Examples New York, NY: Macmillan, 1976.
  • Moses, Lincoln E. Think and Explain with Statistics Reading, MA: Addison-Wesley, 1986.

Mosteller, Frederick and Rourke, Robert E.K. Sturdy Statistics: Nonparametrics and Order Statistics Reading, MA: Addison-Wesley, 1973.

Youden, W.J. Experimentation and Measurement Washington, DC: National Bureau of Standards, 1984.

  • Youden, W.J. Risk, Choice, and Prediction: An Introduction to Experimentation Boston, MA: Duxbury Press, 1974.


Statistics: Intermediate

  • Bickel, Peter J. and Doksum, Kjell A. Mathematical Statistics: Basic Ideas and Selected Topics Oakland, CA: Holden-Day, 1977.
      • Box, George E.P.; Hunter, William G.; and Hunter, J. Stuart. Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building New York, NY: John Wiley, 1978.
  • Casella, George and Berger, Roger L. Statistical Inference Belmont, CA: Wadsworth, 1990.

Chernoff, Herman and Moses, Lincoln E. Elementary Decision Theory Mineola, NY: Dover, 1986.

Cox, D.R. and Snell, E. Joyce. Applied Statistics: Principles and Examples New York, NY: Chapman and Hall, 1981.

  • DeGroot, Morris H. Probability and Statistics, Reading, MA: Addison-Wesley, 1975, 1986. Second Edition.

Devore, Jay L. Probability and Statistics for Engineering and the Sciences, Pacific Grove, CA: Brooks/Cole, 1982, 1991. Third Edition.

Hogg, Robert V. and Craig, Allen T. Introduction to Mathematical Statistics, New York, NY: Macmillan, 1958, 1978. Fourth Edition.

Hogg, Robert V. and Ledolter, Johannes. Engineering Statistics New York, NY: Macmillan, 1987.

    • Hogg, Robert V. and Tanis, Elliot A. Probability and Statistical Inference, New York, NY: Macmillan, 1977, 1988. Third Edition.

Kalbfleisch, J.G. Probability and Statistical Inference, New York, NY: Springer-Verlag, 1979, 1985. 2 Vols., Second Edition.

Kempthorne, Oscar and Folks, J. Leroy. Probability, Statistics, and Data Analysis Ames, IA: Iowa State University Press, 1971.

  • Kiefer, Jack C. Introduction to Statistical Inference New York, NY: Springer-Verlag, 1987.
  • Larsen, Richard J. and Marx, Morris L. An Introduction to Mathematical Statistics and Its Applications, Englewood Cliffs, NJ: Prentice Hall, 1981, 1986. Second Edition.
  • Madansky, Albert. Prescriptions for Working Statisticians New York, NY: Springer-Verlag, 1988.

Manoukian, Edward B. Modern Concepts and Theorems of Mathematical Statistics New York, NY: Springer-Verlag, 1986.

Mendenhall, William; Wackerly, Dennis D.; and Scheaffer, Richard L. Mathematical Statistics with Applications, Boston, MA: PWS-Kent, 1990. Fourth Edition.

Mood, Alexander M.; Graybill, Franklin A.; and Boes, D.C. Introduction to the Theory of Statistics, New York, NY: McGraw-Hill, 1974. Third Edition.

    • Rao, C. Radhkirshna. Linear Statistical Inference and Its Applications, New York, NY: John Wiley, 1973. Second Edition.
  • Rice, John A. Mathematical Statistics and Data Analysis Belmont, CA: Wadsworth, 1988.

Scheaffer, Richard L. and McClave, James T. Probability and Statistics for Engineers, Boston, MA: Duxbury Press, 1990. Third Edition.

      • Snedecor, George W. and Cochran, William G. Statistical Methods, Ames, IA: Iowa State University Press, 1967, 1980. Seventh Edition.

Wetherill, G. Barrie. Intermediate Statistical Methods New York, NY: Chapman and Hall, 1981.


Statistics: Advanced

Cox, D.R. and Hinkley, David V. Theoretical Statistics New York, NY: Chapman and Hall, 1974.

  • Cox, D.R. and Oakes, D. Analysis of Survival Data New York, NY: Chapman and Hall, 1984.

David, H.A. Order Statistics, New York, NY: John Wiley, 1981. Second Edition.

  • Edgington, Eugene S. Randomization Tests, New York, NY: Marcel Dekker, 1980, 1987. Second Edition.

Farnum, Nicholas R. and Stanton, LaVerne W. Quantitative Forecasting Methods Boston, MA: PWS-Kent, 1989.

Hampel, Frank R., et al. Robust Statistics: The Approach Based on Influence Functions New York, NY: John Wiley, 1986.

    • Hinkley, David V.; Reid, Nancy; and Snell, E. Joyce, eds. Statistical Theory and Modelling New York, NY: Chapman and Hall, 1990.
    • Johnson, Norman L. and Kotz, Samuel. Discrete Distributions Boston, MA: Houghton Mifflin, 1969.
    • Johnson, Norman L. and Kotz, Samuel. Continuous Univariate Distributions, Boston, MA: Houghton Mifflin, 1970. 2 Vols.
      • Kendall, Maurice; Stuart, Alan; and Ord, J. Keith. The Advanced Theory of Statistics, New York, NY: Oxford University Press, 1987. 3~Vols.

Lehmann, E.L. Theory of Point Estimation Belmont, CA: Wadsworth, 1991.

  • Lloyd, Emlyn, ed. Statistics New York, NY: John Wiley, 1984. Handbook of Applicable Mathematics, Volume VI.


Statistics: Data Analysis

    • Agresti, Alan. Categorical Data Analysis New York, NY: John Wiley, 1990.
  • Andrews, D.F. and Herzberg, A.M. Data: A Collection of Problems from Many Fields for the Student and Research Worker New York, NY: Springer-Verlag, 1985.

Breiman, Leo, et al. Classification and Regression Trees Belmont, CA: Wadsworth, 1984.

Chambers, John M., et al. Graphical Methods for Data Analysis Belmont, CA: Wadsworth, 1983.

      • Cleveland, William S. The Elements of Graphing Data, Belmont, CA: Wadsworth, 1985, 1991. Second Edition.
    • Cox, D.R. and Snell, E. Joyce. Analysis of Binary Data, New York, NY: Chapman and Hall, 1989. Second Edition.
  • Efron, Bradley. The Jackknife, the Bootstrap, and Other Resampling Plans Philadelphia, PA: Society for Industrial and Applied Mathematics, 1982.

Erickson, Bonnie H. and Nosanchuk, T.A. Understanding Data New York, NY: McGraw-Hill, 1977.

  • Fienberg, Stephen E. The Analysis of Cross-Classified Categorical Data Cambridge, MA: MIT Press, 1977.

Fleiss, Joseph L. Statistical Methods for Rates and Proportions, New York, NY: John Wiley, 1981. Second Edition.

      • Hoaglin, David C.; Mosteller, Frederick; and Tukey, John W., eds. Understanding Robust and Exploratory Data Analysis New York, NY: John Wiley, 1983.
  • Hoaglin, David C.; Mosteller, Frederick; and Tukey, John W., eds. Exploring Data Tables, Trends, and Shapes New York, NY: John Wiley, 1985.
  • Mosteller, Frederick; Fienberg, Stephen E.; and Rourke, Robert E.K. Beginning Statistics with Data Analysis Reading, MA: Addison-Wesley, 1983.

Tukey, John W. Exploratory Data Analysis Reading, MA: Addison-Wesley, 1977.

Velleman, Paul F. and Hoaglin, David C. Applications, Basics, and Computing of Exploratory Data Analysis Boston, MA: Duxbury Press, 1981.


Statistics: Bayesian Methods

  • Berger, James O. Statistical Decision Theory and Bayesian Analysis, New York, NY: Springer-Verlag, 1980, 1985. Second Edition.

Box, George E.P. and Tiao, George C. Bayesian Inference in Statistical Analysis Reading, MA: Addison-Wesley, 1973.

Howson, Colin and Urbach, Peter. Scientific Reasoning: The Bayesian Approach La Salle, IL: Open Court, 1989.

Iverson, Gudmund R. Bayesian Statistical Inference Beverly Hills, CA: Sage, 1984.

Lindley, D.V. Bayesian Statistics: A Review Philadelphia, PA: Society for Industrial and Applied Mathematics, 1971.

  • Press, S. James. Bayesian Statistics: Principles, Models, and Applications New York, NY: John Wiley, 1989.


Statistics: Computational Statistics

Becker, Richard A.; Chambers, John M.; and Wilks, Allan R. The New S Language: A Programming Environment for Data Analysis and Graphics Belmont, CA: Wadsworth, 1988.

Hammersley, J.M. and Handscomb, D.C. Monte Carlo Methods New York, NY: John Wiley, 1964.

Kennedy, William J., Jr. and Gentle, James E. Statistical Computing New York, NY: Marcel Dekker, 1980.

  • Thisted, Ronald A. Elements of Statistical Computing: Numerical Computation New York, NY: Chapman and Hall, 1988.


Statistics: Linear Models and Regression Analysis

Atkinson, Anthony C. Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis New York, NY: Clarendon Press, 1985.

  • Bates, Douglas M. and Watts, Donald G. Nonlinear Regression Analysis and Its Applications New York, NY: John Wiley, 1988.

Belsley, David A.; Kuh, Edwin; and Welsch, Roy E. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity New York, NY: John Wiley, 1980.

Chatterjee, Samprit and Price, Bertram. Regression Analysis by Example New York, NY: John Wiley, 1977.

  • Cook, R. Dennis and Weisberg, Sanford. Residuals and Influence in Regression New York, NY: Chapman and Hall, 1982.

Dobson, Annette J. An Introduction to Generalized Linear Models New York, NY: Chapman and Hall, 1990.

    • Draper, Norman R. and Smith, H. Applied Regression Analysis, New York, NY: John Wiley, 1981. Second Edition.

Graybill, Franklin A. Theory and Application of the Linear Model Boston, MA: Duxbury Press, 1976.

Gunst, Richard F. and Mason, Robert L. Regression Analysis and Its Application: A Data-Oriented Approach New York, NY: Marcel Dekker, 1980.

Hastie, T. and Tibshirani, R.J. Generalized Additive Models New York, NY: Chapman and Hall, 1990.

  • McCullagh, P. and Nelder, J.A. Generalized Linear Models, New York, NY: Chapman and Hall, 1983, 1989. Second Edition.

Morrison, Donald F. Applied Linear Statistical Methods Englewood Cliffs, NJ: Prentice Hall, 1983.

    • Mosteller, Frederick and Tukey, John W. Data Analysis and Regression: A Second Course in Statistics Reading, MA: Addison-Wesley, 1977.
  • Neter, John; Wasserman, William; and Kutner, Michael H. Applied Linear Statistical Models: Regression, Analysis of Variance, and Experimental Designs, Homewood, IL: Richard D. Irwin, 1983, 1985. Second Edition.
      • Weisberg, Sanford. Applied Linear Regression, New York, NY: John Wiley, 1980, 1985. Second Edition.


Statistics: Multivariate Analysis

Anderson, T.W. An Introduction to Multivariate Statistical Analysis, New York, NY: John Wiley, 1984. Second Edition.

    • Bishop, Yvonne M.M., et al. Discrete Multivariate Analysis: Theory and Practice Cambridge, MA: MIT Press, 1977.

Chatfield, Christopher and Collins, Alexander J. Introduction to Multivariate Analysis New York, NY: Chapman and Hall, 1980.

  • Gnanadesikan, R. Methods For Statistical Data Analysis of Multivariate Observations New York, NY: John Wiley, 1977.

Gordon, A.D. Classification: Methods for the Exploratory Analysis of Multivariate Data New York, NY: Chapman and Hall, 1981.

Green, Paul E. and Carroll, J. Douglas. Mathematical Tools for Applied Multivariate Analysis New York, NY: Academic Press, 1976.

Hand, D.J. Discrimination and Classification New York, NY: John Wiley, 1981.

Jambu, Michel. Exploratory and Multivariate Data Analysis New York, NY: Academic Press, 1991.

Jobson, J.D. Applied Multivariate Data Analysis New York, NY: Springer-Verlag, 1991.

    • Johnson, Richard A. and Wichern, Dean W. Applied Multivariate Statistical Analysis, Englewood Cliffs, NJ: Prentice Hall, 1982, 1988. Second Edition.

Kendall, Maurice. Multivariate Analysis, New York, NY: Macmillan, 1980. Second Edition.

  • Morrison, Donald F. Multivariate Statistical Methods, New York, NY: McGraw-Hill, 1967, 1990. Third Edition.


Statistics: Nonparametric Statistics

Gibbons, Jean D. Nonparametric Methods for Quantitative Analysis, Syracuse, NY: American Sciences Press, 1985. Second Edition.

    • Lehmann, E.L. and D'Abrera, H.J.M. Nonparametrics: Statistical Methods Based on Ranks San Francisco, CA: Holden-Day, 1975.
  • Randles, Ronald H. and Wolfe, Douglas A. Introduction to the Theory of Nonparametric Statistics New York, NY: John Wiley, 1979.

Sprent, Peter. Applied Nonparametric Statistical Methods New York, NY: Chapman and Hall, 1989.


Statistics: Experimental Design

    • Fisher, Ronald A. Statistical Methods, Experimental Design, and Scientific Inference, New York, NY: Oxford University Press, 1990. Combined Edition.
  • Mason, Robert L.; Gunst, Richard F.; and Hess, James L. Statistical Design and Analysis of Experiments: With Applications to Engineering and Science New York, NY: John Wiley, 1989.
  • Montgomery, Douglas C. Design and Analysis of Experiments, New York, NY: John Wiley, 1984, 1991. Third Edition.


Statistics: Sampling and Survey Design

Cochran, William G. Sampling Techniques, New York, NY: John Wiley, 1977. Third Edition.

  • Deming, W. Edwards. Some Theory of Sampling Mineola, NY: Dover, 1966.
    • Scheaffer, Richard L.; Mendenhall, William; and Ott, Lyman. Elementary Survey Sampling Boston, MA: PWS-Kent, 1990.

Sukhatme, P.V. and Sukhatme, B.V. Sampling Theory of Surveys with Applications, Ames, IA: Iowa State University Press, 1970. Second Edition.

Wainer, Howard, ed. Drawing Inferences from Self-Selected Samples New York, NY: Springer-Verlag, 1986.

  • Williams, Bill. A Sampler on Sampling New York, NY: John Wiley, 1978.


Statistics: Quality Control

Burr, Irving W. Elementary Statistical Quality Control New York, NY: Marcel Dekker, 1979.

Dehnad, Khosrow, ed. Quality Control, Robust Design, and the Taguchi Method Belmont, CA: Wadsworth, 1989.

  • Montgomery, Douglas C. Introduction to Statistical Quality Control, New York, NY: John Wiley, 1985, 1991. Second Edition.
  • Ryan, Thomas P. Statistical Methods for Quality Improvement New York, NY: John Wiley, 1989.
  • Wadsworth, Harrison M.; Stephens, Kenneth S.; and Godfrey, A. Blanton. Modern Methods For Quality Control and Improvement New York, NY: John Wiley, 1986.


Statistics: Time Series

    • Box, George E.P. and Jenkins, Gwilym M. Time Series Analysis, Forecasting, and Control, Oakland, CA: Holden-Day, 1976. Revised Edition.
  • Chatfield, Christopher. The Analysis of Time Series: An Introduction, New York, NY: Chapman and Hall, 1975, 1989. (Former title: The Analysis of Time Series: Theory and Practice.)

Cox, D.R. and Lewis, P.A.W. The Statistical Analysis of Series of Events New York, NY: Methuen, 1966.

Cryer, Jonathan D. Time Series Analysis Boston, MA: Duxbury Press, 1986.

  • Diggle, Peter J. Time Series: A Biostatistical Approach New York, NY: Oxford University Press, 1990.


Statistics: Applied Geostatistics

Isaaks, Edward H. and Srivastava, R. Mohan. An Introduction to Applied Geostatistics, Oxford University Press, 1990.

Armstrong, Margaret. Basic Linear Geostatistics, Springer, 1998.

Kitanidis, P. K. Introduction to Geostatistics: Applications in Hydrogeology, Cambridge University Press, 1997.

Chilès, Jean-Paul and Delfiner, Pierre. Geostatistics: Modeling Spatial Uncertainty, Wiley Interscience, 1999.

Wackernagel, Hans. Multivariate Geostatistics, Springer, 2003. 3rd edition.

Diggle, Peter J. and Justiniano, Paulo. Model-based Geostatistics, Springer, 2007.

Leuangthong, Oy, Khan, K. Daniel and Deutsch, Clayton V. Solved Problems in Geostatistics, Wiley-Interscience, 2008.


Statistics: Special Topics

Bartlett, A Practitioner's Guide To Business Analytics, McGraw-Hill, 2013.

Brainerd, Barron. Weighing Evidence in Language and Literature: A Statistical Approach Toronto: University of Toronto Press, 1974.

Buncher, C. Ralph and Tsay, Jia-Yeong, eds. Statistics in the Pharmaceutical Industry New York, NY: Marcel Dekker, 1981.

Cleary, James P. and Levenbach, Hans. The Professional Forecaster: The Forecasting Process Through Data Analysis Belmont, CA: Lifetime Learning, 1982.

Gibbons, Jean D.; Olkin, Ingram; and Sobel, Milton. Selecting and Ordering Populations: A New Statistical Methodology New York, NY: John Wiley, 1977.

Hedges, L. and Olkin, Ingram. Statistical Methods for Meta-Analysis New York, NY: Academic Press, 1985.

Maciejowski, Jan M. The Modelling of Systems with Small Observation Sets New York, NY: Springer-Verlag, 1978.

Pankratz, Alan. Forecasting With Univariate Box-Jenkins Models: Concepts and Cases New York, NY: John Wiley, 1983.

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