Mathematical Sciences: Computing Model Robust Statistics
{'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}
This research aims to extend model robust statistical                   procedures to handle data with general covariance structure, for                example, time series and spatial data.   The focus of the                       research on non independent identically distributed random                      variables is computationally intensive and offers tools to merge                previous approaches.  Methods of crossvalidation and robust                     maximum likelihood will be generalized.                                                 This research is in the general area of statistical analysis            of dependent observations and will impact procedures for                        understanding such data including radiocarbon dating, nuclear                   accountability tank calibration, and software development effort                prediction.
{'FirstName': 'George', 'LastName': 'Knafl', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'George J Knafl', 'EmailAddress': 'knafl@cs.depaul.edu', 'NSF_ID': '000309577', 'StartDate': '01/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'DePaul University', 'CityName': 'CHICAGO', 'ZipCode': '606042287', 'PhoneNumber': '3123627388', 'StreetAddress': '1 E JACKSON BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'IL07', 'ORG_UEI_NUM': 'MNZ8KMRWTDB6', 'ORG_LGL_BUS_NAME': 'DEPAUL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '126900', 'Text': 'STATISTICS'}, {'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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