Mathematical Sciences: Estimation in Multivariate Analysis  and Related Topics
{'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}
The research is in the area of multivariate estimation.  The               first project is estimation of multivariate normal covariance                   matrix.  A strategy for correcting the eigenvalue distortion will               be followed.  Solutions of some optimization problems will                      circumvent the inadequacies of invariant Bayes estimators and the               Stein estimator.  Other topics include the estimation of                        discriminant coefficients and the development of principal                      components within the context of discriminant analysis.  Discrete               analogues of the methods in the first project will be used to                   estimate several Poisson means.  The principal investigator has a               record of some of the best existing work in this area.  He will                 continue to pursue his ideas.
{'FirstName': 'Leonard', 'LastName': 'Haff', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Leonard R Haff', 'EmailAddress': None, 'NSF_ID': '000429997', 'StartDate': '07/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'ZipCode': '920930021', 'PhoneNumber': '8585344896', 'StreetAddress': '9500 GILMAN DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'UYTTZT6G9DT1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SAN DIEGO', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1269', 'Text': 'STATISTICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8717859.xml'}