Oscar Kempthorne
British statistician and geneticist (1919–2000) From Wikipedia, the free encyclopedia
British statistician and geneticist (1919–2000) From Wikipedia, the free encyclopedia
Oscar Kempthorne (January 31, 1919 – November 15, 2000) was a British statistician and geneticist known for his research on randomization-analysis and the design of experiments, which had wide influence on research in agriculture, genetics, and other areas of science.
Oscar Kempthorne | |
---|---|
Born | |
Died | November 15, 2000 81) | (aged
Alma mater | Clare College at Cambridge University |
Known for | Randomization analysis of randomized experiments "Iowa school" of analysis of variance Design of experiments Genetics |
Awards | President of the International Biometric Society 1961 President of the Institute of Mathematical Statistics 1984-5 Fellow of the American Statistical Association Fellow of the AAAS Honorary Fellow of the Royal Statistical Society |
Scientific career | |
Fields | Statistics Genetics Philosophy of science |
Institutions | Rothamsted Experimental Station Iowa State University |
Academic advisors | Joseph Oscar Irwin |
Doctoral students | Charles Roy Henderson |
Born in St Tudy, Cornwall and educated in England, Kempthorne moved to the United States, where he was for many decades a professor of statistics at Iowa State University.
Kempthorne developed a randomization-based approach to the statistical analysis of randomized experiments, which was expounded in pioneering textbooks and articles. Kempthorne's insistence on randomization followed the early writings of Ronald Fisher, especially on randomized experiments.[1]
Kempthorne is the founder of the "Iowa school" of experimental design and analysis of variance.[2] Kempthorne and many of his former doctoral students have often emphasized the use of the randomization distribution under the null hypothesis. Kempthorne was skeptical of "statistical models" (of populations), when such models are proposed by statisticians rather than created using objective randomization procedures.
Kempthorne's randomization-analysis has influenced the causal model of Donald Rubin; in turn, Rubin's randomization-based analysis and his work with Rosenbaum on propensity score matching influenced Kempthorne's analysis of covariance.[3]
Oscar Kempthorne was skeptical towards (and often critical of) model-based inference, particularly two influential alternatives: Kempthorne was skeptical of, first, neo-Fisherian statistics, which is inspired by the later writings of Ronald A. Fisher and by the contemporary writings of David R. Cox and John Nelder; neo-Fisherian statistics emphasizes likelihood functions of parameters.[4]
Second, Kempthorne was skeptical of Bayesian statistics, which use not only likelihoods but also probability distributions on parameters.[5] Nonetheless, while subjective probability and Bayesian inference were viewed skeptically by Kempthorne, Bayesian experimental design was defended. In the preface to his second volume with Hinkelmann (2004), Kempthorne wrote,
We strongly believe that design of experiment is a Bayesian experimentation process, ... one in which the experimenter approaches the experiment with some beliefs, to which he accommodates the design. (xxii)
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