Phillip Good
is a Canadian-American mathematical statistician. He was educated at McGill University and the University of California at Berkeley.
His chief contributions to statistics are in the area of small sample statistics, including a uniformly most powerful unbiased permutation test for Type I censored data, an exact test for comparing variances, and an exact test for cross-over designs.
The A to Z of Error-Free Research, Chapman and Hall/CRC, 2012.A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling, Chapman and Hall/CRC, 2011.Introduction to Statistics Using Resampling Methods and R/S-Plus. Wiley, 2005.Introduction to Statistics Using Resampling Methods and Excel. Wiley, 2005.Common Errors in Statistics , Wiley, 2003.Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses, Chapman Hall, London, 2001. Resampling Methods, Birkhauser, Boston, 1999.Permutation, Parametric and Bootstrap Tests of Hypotheses, Springer-Verlag, NY, 1994.