Baysian Approach to Analysis of Contingency Tables

• Activity Number: 125 - Bayesian Methods for Discrete Data Problems
• Type: Contributed
• Date/Time: Monday, July 31, 2017 : 8:30 AM to 10:20 AM
• Sponsor: Section on Bayesian Statistical Science
• Author(s): Huijun Yi* and Ping Ye
• Companies: Troy University and University of North Georgia
• Keywords: contingency table ; target population ; biased sampling ; prior distribution ; Bayesian Analysis

Abstract

In the analysis of contingency tables when sampled and target populations are not identical, the resulting estimates of cell probabilities lead to the relative loss of information due to a biased sampling. In the absence of the target population information, a proper prior distribution can be considered as describing the initial knowledge of target population. In this paper we present the Bayesian Approach to measure the missing information of estimates, thus the estimating methods are compared.