David V. Hinkley

David V. Hinkley

David V. Hinkley is a statistician known for his research in statistical models and inference and for his graduate-level books.

Contents

Research and graduate textbooks

He 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, of unusual breadth and conceptual interest.

Hinkley has also collaborated with Bradley Efron, in particular on writing a paper on maximizing the conditional likelihood function and on using the observed Fisher information.[1]

Bootstrapping

Hinkley is one of the world's foremost experts on bootstrapping, a method of computational statistics, which is largely due to Bradley Efron. With Anthony C. Davison, Hinkley wrote a text on bootstrapping; their text, "Davison-Hinkley", is widely used and referenced.[2]

Positions and awards

Hinkley has been professor at the University of Minnesota, Departments of Applied Statistics and Theoretical Statistics. He currently is a professor of statistics at the University of California at Santa Barbara Department of Statistics.[3]

In 1984 Hinkley received the COPSS Presidents' Award.[4]

Notes

  1. ^
  2. ^ Davison, A. C.; Hinkley, D. (2006). Bootstrap Methods and their Application (8th printing). Cambridge: Cambridge Series in Statistical and Probabilistic Mathematics.]
  3. ^ Faculty webpage
  4. ^ COPPS Awards – Recipients.

References

  • Davison, A. C.; Hinkley, D. (2006). Bootstrap Methods and their Application (8th printing). Cambridge: Cambridge Series in Statistical and Probabilistic Mathematics.

External links




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