Mathematical Sciences: Applications of Empirical Processes  to Statistics
{'Code': '03040107', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Peter Arzberger', 'PO_EMAI': None, 'PO_PHON': None}
The theme of the research is the application of empirical                  process methodology to problems in statistics and econometrics.                 A multivariate location estimator to be studied, depends on the                 translate of a fixed disc that contains the largest empirical                   measure.  The squared difference thus becomes the integral over                 two crescent-shaped regions.  Several limit theorems will be                    proved, along with the graduate student Kim, to study the                       statistical properties of this estimator.  The optimal center and               the optimal radius of the disc in the estimator will be explored                computationally.  Different simulation methods will be studied                  for generation of the random functions used in the estimation.                  The major applications of the theory are in econometrics.
{'FirstName': 'David', 'LastName': 'Pollard', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David B Pollard', 'EmailAddress': 'david.pollard@yale.edu', 'NSF_ID': '000116523', 'StartDate': '07/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Yale University', 'CityName': 'NEW HAVEN', 'ZipCode': '065113572', 'PhoneNumber': '2037854689', 'StreetAddress': '150 MUNSON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CT03', 'ORG_UEI_NUM': 'FL6GV84CKN57', 'ORG_LGL_BUS_NAME': 'YALE UNIV', 'ORG_PRNT_UEI_NUM': 'FL6GV84CKN57'}
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{'Code': '1263', 'Text': 'PROBABILITY'}
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