標題: | Bayesian ranking responses in multiple-response questions |
作者: | Wang, Hsiuying Huang, Wei Heng 交大名義發表 統計學研究所 National Chiao Tung University Institute of Statistics |
關鍵字: | Bayes estimator;Dirichlet prior;Multiple-response question;Single-response questions;Surveys |
公開日期: | 1-一月-2014 |
摘要: | Questionnaires are important surveying tools that are used in numerous studies. Analyses of multiple-response questions are not as well established in detail compared with single-response questions. Wang has proposed several methods for ranking responses in multiple-response questions under the frequentist set-up. However, prior information may exist for ranks of responses in numerous situations. Therefore, establishing a methodology that combines updated survey data and past information for ranking responses is an essential issue in questionnaire data analysis. This study develops Bayesian ranking methods based on several Bayesian multiple-testing procedures to rank responses by controlling the posterior expected false discovery rate. Moreover, a simulation is conducted to compare these approaches, and a real data example is presented to show the effectiveness of the methods proposed. |
URI: | http://dx.doi.org/10.1111/rssa.12009 http://hdl.handle.net/11536/23380 |
ISSN: | 0964-1998 |
DOI: | 10.1111/rssa.12009 |
期刊: | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY |
Volume: | 177 |
Issue: | 1 |
起始頁: | 191 |
結束頁: | 208 |
顯示於類別: | 期刊論文 |