Mathematical Sciences: Aliasing, Approximation and          Asymptotics in Some Statistical Models
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{'SignBlockName': 'Alan Izenman', 'PO_EMAI': None, 'PO_PHON': None}
This research examines three classes of statistical models                 in common use.  The first topic is aliasing in models for the                   covariance function of random processes and arrays.  The second                 topic involves the further use of higher-order cumulants and                    Edgeworth expansions to study the behaviour of estimators and                   tests in variance component analysis.  The final topic is the                   method of residual or restricted maximum likelihood estimation of               variance and covariance parameters.                                                  This research in statistics will impact the areas of                       spectral analysis, analysis of variance, and the users of the                   classical random effects and mixed linear models in fields such                 as agriculture, plant and human genetics, psychology and                        manufacturing.
{'FirstName': 'Terence', 'LastName': 'Speed', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Terence P Speed', 'EmailAddress': 'terry@stat.berkeley.edu', 'NSF_ID': '000470135', 'StartDate': '06/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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{'Code': '1269', 'Text': 'STATISTICS'}
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