教師資料查詢 | 類別: 期刊論文 | 教師: 蔡宗儒TZONG-RU TSAI (瀏覽個人網頁)

標題:Hierarchical Bayesian modeling and randomized response method for inferring the sensitive-nature proportion
學年110
學期1
出版(發表)日期2021/10/07
作品名稱Hierarchical Bayesian modeling and randomized response method for inferring the sensitive-nature proportion
作品名稱(其他語言)
著者H Xin; J Zhu; Tzong-Ru Tsai
單位
出版者
著錄名稱、卷期、頁數Mathematics 9(19), 2518
摘要In this study, a new three-statement randomized response estimation method is proposed to improve the drawback that the maximum likelihood estimation method could generate a negative value to estimate the sensitive-nature proportion (SNP) when its true value is small. The Bayes estimator of the SNP is obtained via using a hierarchical Bayesian modeling procedure. Moreover, a hybrid algorithm using Gibbs sampling in Metropolis–Hastings algorithms is used to obtain the Bayes estimator of the SNP. The highest posterior density interval of the SNP is obtained based on the empirical distribution of Markov chains. We use the term 3RR-HB to denote the proposed method here. Monte Carlo simulations show that the quality of 3RR-HB procedure is good and that it can improve the drawback of the maximum likelihood estimation method. The proposed 3RR-HB procedure is simple for use. An example regarding the homosexual proportion of college freshmen is used for illustration.
關鍵字Bayesian estimation;Beta-Binominal model;maximum likelihood estimation;respondent protection;randomized response
語言英文
ISSN2227-7390
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別瑞士
公開徵稿
出版型式,電子版
相關連結
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  • 優質教育,性別平等
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