David Hinkley
David Victor Hinkley 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. 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.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.
In 1984 Hinkley received the COPSS Presidents' Award.''- Cox, D. R.; Hinkley, D. V.. Theoretical Statistics. New York: John Wiley & Sons/Halsted Press.
- Davison, A. C.; Hinkley, D. V.. Bootstrap Methods and their Application. Cambridge: Cambridge Series in Statistical and Probabilistic Mathematics.
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