Mathematical Sciences Research Equipment
{'Code': '03040106', 'Directorate': {'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Bernard McDonald'}
This project is an equipment grant under the activity Grants            For Scientific Computing Research Equipment For The Mathematical                Sciences program.  The project involves the purchase of special                 purpose equipment dedicated to the support of research in the                   mathematical sciences.  In general, this equipment is required                  jointly by several research projects and would be difficult to                  justify on one project alone.                                                           This research equipment support from the National Science               Foundation is coupled with discounts and contributions of                       equipment from manufacturers and significant cost-sharing from                  the submitting institution.  This project provides a good example               of university, industrial, and government cooperation in the                    support of basic research in the mathematical sciences.                                 This equipment will be used in a number of projects                     including:                                                                      (1) Lagrangean decomposition applied to problems in integer                     programming,                                                                    (2) the development of robust statistical procedures for                        situations with missing data,                                                   (3) adjustment of permutation inferential techniques for                        observational studies where the treatments are not assigned at                  random to the subjects,                                                         (4) investigation of the properties of time series estimation                   methods when there is missing data, and                                         (5) the use of bootstrap methods to produce prediction intervals                in time series settings.
[{'FirstName': 'Abba', 'LastName': 'Krieger', 'EmailAddress': 'krieger@wharton.upenn.edu', 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Paul', 'LastName': 'Shaman', 'EmailAddress': 'shaman@wharton.upenn.edu', 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Robert', 'LastName': 'Stine', 'EmailAddress': 'stine@wharton.upenn.edu', 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Paul', 'LastName': 'Rosenbaum', 'EmailAddress': 'rosenbaum@wharton.upenn.edu', 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Monique', 'LastName': 'Guignard-Spielberg', 'EmailAddress': 'guignard@wharton.upenn.edu', 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
{'Name': 'University of Pennsylvania', 'CityName': 'Philadelphia', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': 'Research Services', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA'}
{'Code': '1260', 'Text': 'INFRASTRUCTURE PROGRAM'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8704627.xml'}