Main Article Content
Abstract
One of the main differences between classical statistics and Bayesian statistics is that the latter can utilise prior information in a formal way. This information can be quantified in terms of a probability distribution which is known as the prior distribution. If there is no relevant prior information available then there are ways to derive a 'non-informative' prior distribution. In this study, the informative and non-informative prior distributions for the parameters of the Bradley-Terry model for paired comparison data are compared.
Keywords
prior distribution
non-informative prior
paired comparison method
the Bradley-Terry model
prior predictive distribution
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How to Cite
Aslam, M., & Shah, S. H. (2015). Lindley-Shannon Information for Comparison of Priors Under Paired Comparisons Model. Pakistan Journal of Statistics and Operation Research, 11(3), 317-329. https://doi.org/10.18187/pjsor.v11i3.779