Activity Number:
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285
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Type:
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Contributed
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Date/Time:
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Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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Abstract - #300963 |
Title:
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Factor Effects Testing For Mixture Distributions
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Author(s):
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Mong-Na Huang*+
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Affiliation(s):
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National Sun Yat-sen University
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Address:
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, Kaohsiung, International, 804, Taiwan, R.O.C.
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Keywords:
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Likelihood ratio tests ; maximum likelihood estimation
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Abstract:
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In this work, testing of factor effects to the observed data from finite mixture distributions is discussed. Likelihood ratio tests are used to test whether some factors have significant effects to the mixture distribution model. Different methods on the compuation algorithm of the maximum likelihood estimation of the parameters in the mixture models are studied to carry out the likelihood ratio tests. These methods are applied to the data obtained from a study of emergence of {\textit{Pontomyia oceana}}({\textit{P. oceana}} in short), where the effects of factors, such as sex and temperature, to the distribution of the time that {\textit{P. oceana}} emerged are investigated.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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