Phillip Good

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
  1. Makinodan, T.; Albright, J. W.; Good, P. I.; Peter, C. P.; Heidrick, M. L. (1976). "Reduced humoral immune activity in long-lived mice". Immunology. 31 (6): 903–911. PMC 1445177. PMID 791854.
  2. Good, P. I. (1992). "Globally almost most powerful tests for censored data". Journal of Nonparametric Statistics. 1 (3): 253–262. doi:10.1080/10485259208832526.
  3. Good, P.; Xie, F. (2008). "Analysis of a crossover clinical trial by permutation methods". Contemporary Clinical Trials. 29 (4): 565–568. doi:10.1016/j.cct.2008.01.006. PMID 18356118.
  1. Review: Wick, Jo A. (2014). The American Statistician. 68 (4): 309. JSTOR 24591753.{{cite journal}}: CS1 maint: untitled periodical (link)
  2. Reviews:
    • Hand, David J. (2013). International Statistical Review / Revue Internationale de Statistique. 81 (2): 326. JSTOR 43298887.{{cite journal}}: CS1 maint: untitled periodical (link)
    • Olive, David J. (2012). Technometrics. 54 (3): 327–328. JSTOR 41714909.{{cite journal}}: CS1 maint: untitled periodical (link)
    • Chernick, Michael R. (2012). The American Statistician. 66 (2): 148–149. JSTOR 23339486.{{cite journal}}: CS1 maint: untitled periodical (link)
  3. Review: Polasek, Wolfgang (2009). Statistical Papers. 50 (3): 673–675. doi:10.1007/s00362-008-0131-6. S2CID 117975814.{{cite journal}}: CS1 maint: untitled periodical (link)
  4. Reviews:
    • Dessart, Donald J. (2007). The Mathematics Teacher. 100 (6): 446. JSTOR 27972286.{{cite journal}}: CS1 maint: untitled periodical (link)
    • Anderson-Cook, Christine M. (2004). The American Statistician. 58 (4): 359. doi:10.1198/tas.2004.s25. JSTOR 27643597. S2CID 117993672.{{cite journal}}: CS1 maint: untitled periodical (link)
  5. Review: Last, M. (2008). Journal of the American Statistical Association. 103 (482): 880–881. doi:10.1198/jasa.2008.s228. JSTOR 27640110. S2CID 219594078.{{cite journal}}: CS1 maint: untitled periodical (link)
  6. Review: Technometrics. 48 (4): 576. 2006. JSTOR 25471263.{{cite journal}}: CS1 maint: untitled periodical (link)
  7. Reviews:
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.