|
Activity Number:
|
336
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
IMS
|
| Abstract - #309884 |
|
Title:
|
Maximum Likelihood Estimation of the Dispersion Parameter of Negative Multinomial Distribution
|
|
Author(s):
|
Soumi Lahiri*+
|
|
Companies:
|
GlaxoSmithKline
|
|
Address:
|
1250 South Collegeville Road, Collegeville, PA, 19426,
|
|
Keywords:
|
negative Multinomial Distribution ; Maximum Likelihood Estimator ; EM Algorithm
|
|
Abstract:
|
The negative multinomial sampling plans are widely used in the biomedical field, especially modeling rare events. A major drawback to the use of this distribution is the difficulty in estimating the shape parameter k. The maximum likelihood estimator (MLE) of k cannot be obtained by directly solving the likelihood equation for the negative multinomial distribution. This paper describes a maximum likelihood method using the EM algorithm to estimate k. The efficiency of this method has been illustrated with simulation results.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2007 program |
