Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
The multi‐clump finite mixture distribution and model selection
10.1002/env.986.abs
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. Copyright © 2009 John Wiley & Sons, Ltd.
The multi‐clump finite mixture distribution and model selection
10.1002/env.986.abs
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. Copyright © 2009 John Wiley & Sons, Ltd.
The multi‐clump finite mixture distribution and model selection
Paul, Sudhir R. (Autor:in) / Banerjee, Tathagata (Autor:in) / Balasoorya, Uditha (Autor:in)
Environmetrics ; 21 ; 133-142
01.03.2010
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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