Phillip I. Good (born in 1937) is a Canadian-American mathematical statistician. He was educated at McGill University and the University of California at Berkeley.

He was among the first to apply the bootstrap in his 1975 analyses of 2×2 designs with a missing cell.^{[pub 1]} His chief contributions to statistics are in the area of small sample statistics, including a uniformly most powerful unbiased (UMPU) permutation test for Type I censored data,^{[pub 2]} an exact test for comparing variances, and an exact test for cross-over designs.^{[pub 3]}

Selected books

• The A to Z of Error-Free Research, Chapman and Hall/CRC, 2012.^[1]
• A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling, Chapman and Hall/CRC, 2011.^[2]
• Introduction to Statistics Using Resampling Methods and R/S-Plus. Wiley, 2005 (2nd edition, 2012).^[3]
• Introduction to Statistics Using Resampling Methods and Excel. Wiley, 2005.^[3]
• Common Errors in Statistics (and How to Avoid Them) (with J. Hardin), Wiley, 2003 (4th edition, 2012).^[4]
• Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses, Chapman Hall, London, 2001. ISBN 1-58488-271-9^[5]
• Resampling Methods, Birkhauser, Boston, 1999 (3rd edition, 2005).^[6]
• Permutation, Parametric and Bootstrap Tests of Hypotheses, Springer-Verlag, NY, 1994 (3rd edition, 2005).^[7]

References