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Activity Number:
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549
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Risk Analysis
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| Abstract - #303431 |
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Title:
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Bivariate Exponential Mixture Models
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Author(s):
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Norou Diawara*+
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Companies:
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Old Dominion University
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Address:
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4700 Elkhorn Avenue, Norfolk, VA, 23529,
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Keywords:
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Bivariate exponential ; Mixture ; Dirac delta ; Likelihood function
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Abstract:
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The exponential distribution is one of the most used type of distribution because of its importance in many lifetime applications and its properties. So is its bivariate form. Simply used, there can be limitations specially for the heterogeneous type population. Its mixture form adds a lot of characters and desirable properties. We propose a mixture of bivariate exponential distribution, study properties of the associated parameters and predict the elements of the mixture. We include the presence of covariate information through a linear relationship, capturing the now famous idea by Marshall and Olkin.
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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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