Reading List
I am often asked to recommend a "good
statistics text," which is as difficult as recommending a good engineering
text, and for the same reason.
Both disciplines are rich, broad and complex.
Perhaps parts of them might be summarized in a single volume, but individual
topics require dedicated study. Here are a
few books that I refer to often.
 Agresti, Alan, Categorical Data Analysis, 2nd ed., Wiley,
2002
 Box, George E. P., William G. Hunter, and J.
Stewart Hunter, Statistics for Experimenters, Wiley, 1978
 Casella, George and Roger L. Berger,
Statistical Inference, Duxbury Press, 2001
 Chatfield, C., The Analysis of Time Series, 4th ed., Chapman
& Hall, 1989
 Cressie, Noel A. C., Statistics for Spatial Data, Wiley, 1993
 Fisher, Ronald A., Statistical Methods for
Research Workers.
(First published in 1925; 14th edition was ready for publication in 1962,
when Fisher died, and was published in 1990, by the Oxford University Press,
along with Experimental Design and Scientific Inference, with
corrections to the 1991 edition, in 1993.)
 Efron, Bradley and Robert J. Tibshirani, An Introduction to the
Bootstrap, Chapman and Hall, 1993
 Gelman, Andrew, John B. Carlin, Hal S. Stern, Donald B. Rubin,
Bayesian Data Analysis, 2nd ed., Chapman & Hall/CRC, 2003
 Johnson, Richard A. and Dean W. Wichern, Applied Multivariate
Statistical Analysis, 5th ed., Prentice Hall, 2002
 Kutner, Michael, and Christopher J.
Nachtsheim, John Neter, William Li, Applied Linear Statistical Models, 5th ed., McGrawHill/Irwin, 2005
 Lawless, Jerald F., Statistical Models and
Methods for Lifetime Data, Wiley, 1982
 McCullagh, P. and J.A. Nelder, Generalized Linear Models,
Chapman & Hall, 2nd ed., 1989
 Meeker and Escobar, Statistical Methods for
Reliability Data, Wiley, 1998
 Robert, Christian P. and George Casella, Monte Carlo Statistical
Methods, Springer, 1999
 Venables and Ripley, Modern Applied Statistics with S, 4th
ed., Springer, 2002
