Mathematical Sciences: Adaptive Statistical Procedures
{'Code': '03040107', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Alan Izenman', 'PO_EMAI': None, 'PO_PHON': None}
Rukhin will work on adaptive statistical procedures which                  are relevant when probabilities of large deviations are used as a               performance criterion.  In a hypothesis testing situation, Rukhin               plans to obtain conditions for the existence of an adaptive test,               i.e., a test which is fully asymptotically Bahadur efficient for                any fixed value of an unknown nuisance parameter and such that                  the test is independent of this parameter value.  The form of the               adaptive test statistics will be derived, and their behavior for                moderate sample sizes will be explored.  Similar questions will                 be investigated in the problem of estimating a vector parameter                 in the presence of an infinite-dimensional nuisanceparameter.                   Recurrent classification procedures will be studied and improved                reliability quantile estimators will be obtained.                                    This work in the field of statistics focuses on solving                    problems that will adapt hypotheses testing procedures to                       information as it accummulates.  Success on these problems will                 contribute to the knowledge of how to optimize the performance of               scientific experimentation.
{'FirstName': 'Andrew', 'LastName': 'Rukhin', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andrew L Rukhin', 'EmailAddress': 'rukhin@math.umbc.edu', 'NSF_ID': '000228617', 'StartDate': '06/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'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': '1269', 'Text': 'STATISTICS'}
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