JSM 2004 - Toronto

Abstract #300741

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Activity Number: 91
Type: Other
Date/Time: Monday, August 9, 2004 : 10:30 AM to 12:20 PM
Sponsor: ASA
Abstract - #300741
Title: Applications of Sequential Methodologies in Some Modern Statistical Areas
Author(s): Nitis Mukhopadhyay*+
Companies: University of Connecticut
Address: Department of Statistics, U 4120, CLAS Bldg, Storrs , CT, 06269-4120,
Keywords:
Abstract:

Abraham Wald and his colleagues pioneered the broad area of sequential analysis in the mid-1940s. Wald was definitely motivated to launch this exciting branch of statistics in order to deal with many important issues of sampling inspection arising from defense related practical projects of national importance. In the past two decades, it seems that the area of clinical trials has been one of the primary beneficiaries of many sophisticated sequential methodological research. It must also be said that the area of sequential analysis has come to maturity in many respects because of the advancement of clinical research. This presentation will begin with a review of some of the areas and types of modern statistical problems (other than those in clinical research) where innovative sequential methodologies have played major roles during the past 20-plus years. Modern statistical areas dealing with significant problems arising, for example, in surveillance, tracking, data-mining, agriculture, integrated pest management, psychology, entomology, finance, will be emphasized.

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Revised March 2004