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Bayesian Reference Analysis for the Generalized Gamma Distribution
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DOI：10.1109/LCOMM.2018.2848232.png)
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Abstract
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In this letter, we present a Bayesian reference analysis for the generalized gamma distribution by using a reference prior, which has important properties such as one-to-one invariance under reparametrization, consistent marginalization, consistent sampling, and leads to a proper posterior density. A simulation study is performed in order to verify the efficiency of our proposed methodology.
Keywords:
Bayesian inference
generalized Gamma distribution
objective prior
reference prior
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