Closed-Ended Sequential Detectors:  Efficiency and          Nonparametric
{'Code': '05010700', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'Dwight D. Fisher', 'PO_EMAI': None, 'PO_PHON': None}
Professor Tantaratana will develop detection strategies such                    that their performance and cost fall between two widely used                    detectionstrategies--fixed sample size test (FSS) and the                       sequential probability ratio test.  The FSS does not perform as                 well as the sequential test, but has the advantage of having a                  fixed amount of computation per decision.  The sequential test,                 which does not use a fixed sample size and may not even be                      bounded, performs better but takes as inordinate amount of time.                The research willinclude both parametric and nonparametric                      detection situations indeveloping his new detection strategies.
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{'Name': 'University of Massachusetts Amherst', 'CityName': 'AMHERST', 'ZipCode': '010039252', 'PhoneNumber': '4135450698', 'StreetAddress': '101 COMMONWEALTH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'VGJHK59NMPK9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MASSACHUSETTS', 'ORG_PRNT_UEI_NUM': 'VGJHK59NMPK9'}
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{'Code': '4096', 'Text': 'COMMUNICATIONS RESEARCH'}
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