한국데이터정보과학회:학술대회논문집

The Korean Data and Information Science Society (한국데이터정보과학회)
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Bayesian Model Selection in Analysis of Reciprocals

  • Kang, Sang-Gil (Department of Applied Statistics, Sangji University) ;
  • Kim, Dal-Ho (Department of Statistics, Kyungpook National University)
  • Published : 2005.10.30
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Abstract

Tweedie (1957a) proposed a method for the analysis of residuals from an inverse Gaussian population paralleling the analysis of variance in normal theory. He called it the analysis of reciprocals. In this paper, we propose a Bayesian model selection procedure based on the fractional Bayes factor for the analysis of reciprocals. Using the proposed model procedures, we compare with the classical tests.

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