Bayesian analysis for incomplete multi-way contingency tables with nonignorable nonresponse
- Authors
- Park, Yousung; Choi, Bo-Seung
- Issue Date
- 2010
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- Bayesian analysis; nonignorable nonresponse; priors; boundary solution; EM algorithm
- Citation
- JOURNAL OF APPLIED STATISTICS, v.37, no.9, pp.1439 - 1453
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF APPLIED STATISTICS
- Volume
- 37
- Number
- 9
- Start Page
- 1439
- End Page
- 1453
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/118633
- DOI
- 10.1080/02664760903046078
- ISSN
- 0266-4763
- Abstract
- We propose Bayesian methods with five types of priors to estimate cell probabilities in an incomplete multi-way contingency table under nonignorable nonresponse. In this situation, the maximum likelihood (ML) estimates often fall in the boundary solution, causing the ML estimates to become unstable. To deal with such a multi-way table, we present an EM algorithm which generalizes the previous algorithm used for incomplete one-way tables. Three of the five types of priors were previously introduced while the other two are newly proposed to reflect different response patterns between respondents and nonrespondents. Data analysis and simulation studies show that Bayesian estimates based on the old three priors can be worse than the ML regardless of occurrence of boundary solution, contrary to previous studies. The Bayesian estimates from the two new priors are most preferable when a boundary solution occurs. We provide an illustrating example using data for a study of the relationship between a mother's smoking and her newborn's weight.
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Collections - College of Political Science & Economics > Department of Statistics > 1. Journal Articles
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