Mathematical Sciences: Multivariate Distribution Theory
{'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 has two components.  One is to systematically                study mixture models for multivariate distributions, as they                    arise naturally in physicaly settings, statistical derivations,                 and Bayesian analysis.  These models often shed light on the                    applicability and properties of derived distributions.  In                      addition, functional equation techniques are employed,                          particularly in the study of multivariate distributions with                    uniform marginals.  The second component is to generalize                       reliability models.                                                                  This research is in multivariate statistics and aims to                    create and characterize mathematical models which permit                        meaningful relationships between variables.
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{'Code': '1269', 'Text': 'STATISTICS'}
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