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2001•Journal of the Korean Data and Information Science SocietyRequires access

Bayesian Testing for the Equality of Two Lognormal Populations with the fractional Bayes factor

Kyoung-Ae Moon, Dal-Ho Kim

Open publisher page 2 citations

Abstract

We propose the Bayesian testing for the equality of two Lognormal population means. Specially we use the fractional Bayesian factors suggested by O'Hagan (1995) based on the noninformative priors for the parameters. In order to investigate the usefulness of the proposed Bayesian testing procedures, we compare it with classical tests via both real data analysis and simulations.

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What this paper is about

We propose the Bayesian testing for the equality of two Lognormal population means. Specially we use the fractional Bayesian factors suggested by O'Hagan (1995) based on the noninformative priors for the parameters. In order to investigate the usefulness of the proposed Bayesian testing procedures, we compare it with classical tests via both real data analysis and simulations.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We propose the Bayesian testing for the equality of two Lognormal population means. Specially we use the fractional Bayesian factors suggested by O'Hagan (1995) based on the noninformative priors for the parameters. In order to investigate the usefulness of the proposed Bayesian testing procedures, we compare it with classical tests via both real data analysis and simulations.

Key concepts: Bayes factor, Bayesian probability, Prior probability, Mathematics, Log-normal distribution, Bayesian average, Statistics, Bayes' theorem

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