Department of Statistics
Texas A&M University
STATISTICS COLLOQUIUM
DEPARTMENT OF STATISTICS
Texas A&M University
Tathatagata Banerjee
University of Nebraska
and Calcutta University
Models for Multinomial Clustered Data
and Related Inference Problems
ABSTRACT: Categorical data arise in numerous biological investigations showing extra-multinomial variation. This extra variation may be caused by one of a number of possible random mechanisms. One possible source of extra variation is that cell probability parameters of the multinomial distribution do not remain constant over the course of the experiment. Another source of extra-dispersion is when groups of units in the experiment form clumps in the form of responses. The responses within each group are correlated and this correlation may be different for different groups. A multiple clumped finite mixture distribution that gives a nice physical explanation of the clumping mechanism has been proposed.Also the inference problems related to the two extra-dispersed models Viz., Dirichlet Multinomial and multiple clumped finite mixture from a data analyst's point of view has been considered.
| DATE: | Friday, March 10, 2000 | |
| TIME: | 4:00 p.m.-5:00 p.m. | |
| PLACE: | Room 411, Blocker |
Refreshments will be served in the Blocker Building, Room 447, at 3:30 p.m.
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