Mathematical Sciences: Semi-Parmetric Regression with       Counting Data
{'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 is to establish the distributional properties             of estimates and pivotal quantities in semi-parametric regression               models with counting data, focusing on Poisson and binomial data                in the setting of the generalized linear model.  Estimates will                 be considered semi-parametric in the sense of having a parametric               component and a component which is subject to some "smoothing"                  constraint, usually in the setting of generalized splines.                      Necessary tools that must be developed for this research and for                transfering results from this research to the applied statisician               are efficient computational methods for smooth general linear                   model problems in which the design points fall on a regular,                    multidimensional grid.                                                                  This research in statistical distribution theory will                   provide useful analytical tools which translate directly into                   graphical procedures for selecting probability models and                       diagnostic procedures for assessing their adequacy.  This                       research is directed toward situations where simple parametric                  models of counting data are not warranted.
{'FirstName': 'Brian', 'LastName': 'Yandell', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brian S Yandell', 'EmailAddress': 'byandell@wisc.edu', 'NSF_ID': '000454141', 'StartDate': '08/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'ZipCode': '537151218', 'PhoneNumber': '6082623822', 'StreetAddress': '21 North Park Street', 'StreetAddress2': 'Suite 6301', 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_DUNS_NUM': '161202122', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WISCONSIN SYSTEM', 'ORG_PRNT_DUNS_NUM': '041188822'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1269', 'Text': 'STATISTICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8704341.xml'}