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Abstract Details
Activity Number:
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300
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #301025 |
Title:
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Bayesian Predictive Inference from the Half-Normal Model Given a Type II Censored Sample
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Author(s):
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Hafiz M. R. Khan*+
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Companies:
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Florida International University
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Address:
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Department of Epidemiology & Biostatistics, Miami, FL, 33199, USA
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Keywords:
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Censored sample ;
Half-normal model ;
Likelihood function ;
Bayesian approach ;
Posterior density function ;
Predictive inference.
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Abstract:
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In this paper, we derive the likelihood function and the posterior density function for the parameter assuming that the given type II censored sample follows a half-normal model. By making use of the posterior density function, we derive the predictive density for a single future response, a bivariate future response, and several future responses. A Bayesian framework has been utilized in conjunction with an informative prior to derive the predictive results on the basis of a type II censored sample. Simulated type II censored samples from a half-normal model are utilized to illustrate the results.
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Authors who are presenting talks have a * after their name.
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