Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/10984
Title: The multi-clump finite mixture distribution and model selection
Authors: Paul, Sudhir
Banerjee, Tathagata
Balasoorya, Uditha
Issue Date: 8-Sep-2010
Abstract: In practical data analysis, often an important problem is to determine the number of clumps in discrete data in the form of proportions. This can be done through model selection in a multi-clump finite mixture model. In this paper, we propose bootstrap likelihood ratio tests to test the fit of a multinomial model against the single clump finite mixture distribution and to determine the number of clumps in the data, that is, to select a model with appropriate number of clumps. Shortcomings of some traditional large sample procedures are also shown. Three datasets are analyzed.
Description: Paul,Sudhir; Banerjee,Tathagata and Balasoorya,Uditha, " The Multi - Clump Finite Mixture Distribution and Model Selection,"
URI: http://hdl.handle.net/11718/10984
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