Mathematical Sciences: Resampling and Other Inference in    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 further the understanding of, and to                 improve upon, the existing methodology for some important                       problems of statistical estimation and hypothesis testing.  These               problems encompass nonparametric estimation and testing,                        regression analysis, and the analysis of survey and spatial data.               The main tools to be used fall under the category of data                       resampling.  The chief techniques involve asymptotic expansion,                 combinatoric analysis, probability theory, and numerical                        computing.                                                                           This research in the field of statistics applies new                       mathematical and computational tools to expand existing theory.                 The results should allow more efficient use of resources in the                 future planning of and analysis of data from statistical                        experiments and sample surveys.
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{'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'}
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{'Code': '1269', 'Text': 'STATISTICS'}
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