This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 326
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Defense and National Security
Abstract - #306073
Title: Statistical Methods Used in Defense and Nondefense Applications
Author(s): Alyson Wilson*+ and Steven Thompson*+ and Nozer Singpurwalla*+ and Aparna Hurzurbazar*+ and Robert Shumway*+ and Max Morris*+
Companies: Iowa State University and Simon Fraser University and The George Washington University and Los Alamos National Laboratory and University of California, Davis and Iowa State University
Address: Department of Statistics, Ames, IA, 50011, USA Department of Statistics and Actuarial Science, Burnaby, BC, BC V5A 1S6, Canada Department of Statistics, Washington, DC, 20052, P.O. Box 1663, MS-F600, LANL, Los Alamos, NM, 87545, 2505 Hepworth drive, Davis, CA, 95618, Department of Statistics & Statistical Laboratory, Ames, IA, 50011,
Keywords: Monte Carlo methods ; analytical methods ; future of the statistical profession
Abstract:

For several decades statistical techniques and analytical methods applied first in solving either defense or non-defense problems have later been found to be useful in other subject-matter contexts. The Metropolis Algorithm which has had a prominent role in the development of Markov Chain Monte Carlo methods and the development of the sequential testing/estimation procedures used in quality control and elsewhere are examples of methods and techniques that long ago moved beyond the single domain of application where they were first used. There are many more recent examples that will improve our ability to accomplish our scientific objectives and enhance our understandings of natural or social phenomena. The members of this panel will contribute their reflections upon the developments and changes that they have witnessed and speculate on where the statistical profession may be headed.


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