%0 Journal Article %T Bayesian Analysis of the Behrens-Fisher Problem under a Gamma Prior %A Nengak Emmanuel Goltong %A Sani Ibrahim Doguwa %J Open Journal of Statistics %P 902-914 %@ 2161-7198 %D 2018 %I Scientific Research Publishing %R 10.4236/ojs.2018.86060 %X Yin [1] has developed a new Bayesian measure of evidence for testing a point null hypothesis which agrees with the frequentist p-value thereby, solving Lindley¡¯s paradox. Yin and Li [2] extended the methodology of Yin [1] to the case of the Behrens-Fisher problem by assigning Jeffreys¡¯ independent prior to the nuisance parameters. In this paper, we were able to show both analytically and through the results from simulation studies that the methodology of Yin [1] solves simultaneously, the Behrens-Fisher problem and Lindley¡¯s paradox when a Gamma prior is assigned to the nuisance parameters. %K Behrens-Fisher Problem %K Lindley¡¯s Paradox %K Metropolis-Hastings Algorithm %K Informative Priors %U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=88956