Mathematical Sciences: Optimal Design of Experiments and    Mixture Estimation
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Professors Studden and Coster will work on problems related                to the optimal design of statistical experiments, the estimation                of mixture distributions and density estimation.  Design problems               will be considered in polynomial, spline, and rational function                 regression models.  Solutions to problems involving multi-                      objective methods for optimal designs will be sought.  Estimation               problems concerning mixtures of geometric distributions will also               be considered along with some density estimation using spline                   kernels.                                                                             This research is in the area of statistical experimental                   design which aims to provide experimental scientists with                       strategies that will optimize their utilization of resources,                   improve scientists' chances of correctly interpreting                           experimental observations, and thereby speed the rate of                        scientific progress.
{'FirstName': 'William', 'LastName': 'Studden', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William J Studden', 'EmailAddress': 'studden@stat.purdue.edu', 'NSF_ID': '000442931', 'StartDate': '06/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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{'Code': '1269', 'Text': 'STATISTICS'}
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