This is a list of some of my favorite statistics books. For each book, full bibliographic information is given, along with a brief summary and/or review of the book. Each book also offers a link to purchase the book directly from Amazon.com. If you see a book you like, you can click on the title to order it and have a copy delivered to your door.
If you have any comments or questions about the books listed here, or if you'd like to give me suggestions about other books you'd like to see on the list, please send me a message.
If you don't see the book you're looking for here, you can do a search at Amazon.com. See the search form at the end of this page.
The books are categorized as follows:
Bernstein, P. (1996). Against the Gods: the Remarkable Story of Risk. New York: Wiley.
Gonick, L. and Smith, W. (1993). The Cartoon Guide to Statistics. New York: Harper Collins.
Huff, D. (1993). How to Lie with Statistics. New York: W. W. Norton & Co.
Paulos, J. A. (1988). Innumeracy: Mathematical Illiteracy and Its Consequences. New York: Vintage Books.
McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. New York: Chapman & Hall.
Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied Linear Statistical Models. Chicago: Irwin.
Saville, D. J. and Wood, G. R. (1991). Statistical Methods: the Geometric Approach. New York: Springer-Verlag.
A note to social science researchers: most of the books listed here discuss experimental design from an engineering perspective, which is somewhat different from the social science approach. In industrial settings, experimental designs generally focus on efficiency, emphasizing fractional factorial designs and polynomial response surface models, and usually with little or no coverage of the repeated measures (AKA within-subjects) designs so familiar to social scientists. In contrast, most books aimed at social scientists tend not to do much with fractional designs (coverage is usually restricted to discussion of Latin square designs), but give in-depth information on repeated measures designs. Books with this emphasis will be clearly identified in the list.
Box, G. E. P., Hunter, W. G. and Hunter, J. S. (1978). Statistics for Experimenters. New York: Wiley.
Cornell, J.A. (1990). Experiments with Mixtures. New York: Wiley.
John, P. W. M. (1998). Statistical Design and Analysis of Experiments. Philadelphia: SIAM.
Keppel, G. (1991). Design and Analysis : A Researcher's Handbook. Englewood Cliffs, NJ: Prentice-Hall.
Dillon, W. R. and Goldstein, M. (1984). Multivariate Analysis: Methods and Applications. New York: Wiley.
Tabachnick, B. G., and Fidell, L. S. (1996). Using Multivariate Statistics. New York: HarperCollins College Publishers.
Agresti, A. (1990). Categorical Data Analysis. New York: Wiley.
Bollen, K. (1987). Structural Equations with Latent Variables. New York: Wiley.
Hoyle, R. H. (1995). Structural Equation Modeling: Concepts, Issues, and Applications. Thousand Oaks, CA: Sage.
Tufte, E. R. (1983). The Visual Display of Quantitative Information. Cheshire, CT:
Tufte, E. R. (1990). Envisioning Information. Cheshire, CT: Graphics Press.
Tufte, E. R. (1997). Visual Explanations: Images and Quantities, Evidence and Narrative. Cheshire, CT: Graphics Press.
Berry, M. J. A. and Linoff, G. (1997). Data Mining Techniques for Marketing, Sales, and Customer Support. New York: Wiley.
Berson, A. and Smith, S. J. (1997). Data Warehousing, Data Mining, and OLAP. New York: McGraw-Hill.
Tukey, J. W. (1977). Exploratory Data Analysis. Reading, MA: Addison-Wesley.
Berinstein, P. (1998). Finding Statistics Online: How to Locate the Elusive Numbers You Need. Medford, NJ: Information Today.
Everitt, B. S. (1998). The Cambridge Dictionary of Statistics. New York: Cambridge University Press.
Kotz, S. (1988). Encyclopedia of Statistical Sciences, vol. 1-9 plus supplements. New York: Wiley.
This page maintained by Clay Helberg. Last updated March 8, 1999