David Hinkley

David Victor Hinkley (1944 – 11 January 2019)[1][2] was a statistician known for his research in statistical models and inference and for his graduate-level books.

Research and graduate textbooks

Hinkley earned a PhD from the Imperial College London under the supervision of David R. Cox. In 1974 Hinkley and Cox published a textbook on statistical inference. Hinkley also collaborated with Bradley Efron, in particular on writing a paper on maximizing the conditional likelihood function and on using the observed Fisher information.[3] Hinkley was an expert on bootstrapping, a method of computational statistics, which is largely due to Efron. With Anthony C. Davison, Hinkley wrote a widely used textbook on the subject.[4]

Positions and awards

Hinkley was professor at the University of Minnesota, the University of Texas at Austin, and at the University of Oxford in the UK. At the time of his death, he was an emeritus professor of statistics at the University of California at Santa Barbara.[5]

In 1984 Hinkley received the COPSS Presidents' Award.[6]

Selected publications
  • Cox, D. R.; Hinkley, D. V. (1974). Theoretical Statistics. New York: John Wiley & Sons/Halsted Press.
  • Davison, A. C.; Hinkley, D. V. (2006). Bootstrap Methods and their Application (8th printing). Cambridge: Cambridge Series in Statistical and Probabilistic Mathematics.
  • Efron, B.; Hinkley, D. V. (1978). "Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher Information". Biometrika. 65 (3): 457–487. doi:10.1093/biomet/65.3.457. JSTOR 2335893. MR 0521817.

References
  1. Ludkovski, Chair Mike; Department of Statistics and Applied Probability; Yang, Henry T. (31 January 2019), David Victor Hinkley 1945-2019, University of California, Santa Barbara Office of the Chancellor
  2. Davison, Anthony; Reid, Nancy; Ventura, Valérie (31 January 2019). "ALLSTAT Archives: David Hinkley". www.jiscmail.ac.uk.
  3. Efron, B.; Hinkley, D.V. (1978). "Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher Information". Biometrika. 65 (3): 457–487. doi:10.1093/biomet/65.3.457. JSTOR 2335893. MR 0521817.
  4. Davison, A. C.; Hinkley, D. (2006). Bootstrap Methods and their Application (8th printing). Cambridge: Cambridge Series in Statistical and Probabilistic Mathematics
  5. Faculty webpage
  6. COPPS Awards – Recipients Archived 2016-03-12 at the Wayback Machine.


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