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Abstract
The article presents a problem in classification with two populations H, and H by Bayesian method, which is building posterior probability distribution function for v, proportion of H1 in H3 (the mixing of H1 and H2) using its truncated (0,1) prior distribution and observations from H3. The cases when v has prior beta, normal and exponential distributions are studied completely.
Issue: Vol 11 No 1 (2008)
Page No.: 21-30
Published: Jan 31, 2008
Section: Natural Sciences - Research article
DOI: https://doi.org/10.32508/stdj.v11i1.2595
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