教師資料查詢 | 類別: 期刊論文 | 教師: 鄧文舜 Deng Wen-shuenn (瀏覽個人網頁)

標題:A nonparametric procedure for testing partially ranked data
學年
學期
出版(發表)日期2017/03/20
作品名稱A nonparametric procedure for testing partially ranked data
作品名稱(其他語言)
著者Jyh-Shyang Wu; Wen-Shuenn Deng
單位
出版者
著錄名稱、卷期、頁數Journal of Nonparametric Statistics 29(2), p.213-230
摘要In consumer preference studies, it is common to seek a complete ranking of a variety of, say N, alternatives or treatments. Unfortunately, as N increases, it becomes progressively more confusing and undesirable for respondents to rank all N alternatives simultaneously. Moreover, the investigators may only be interested in consumers’ top few choices. Therefore, it is desirable to accommodate the setting where each survey respondent ranks only her/his most preferred k (k < N) alternatives. In this paper, we propose a simple procedure to test the independence of N alternatives and the top-k ranks, such that the value of k can be predetermined before securing a set of partially ranked data or be at the discretion of the investigator in the presence of complete ranking data. The asymptotic distribution of the proposed test under root-n local alternatives is established. We demonstrate our procedure with two real data sets.
關鍵字Anderson's test;partially ranked data;chi-square test;imposed rank;contingency table;U-statistics;root-n local alternatives
語言英文
ISSN1048-5252; 1029-0311
期刊性質國外
收錄於SCI;
產學合作
通訊作者Wen-Shuenn Deng
審稿制度
國別英國
公開徵稿
出版型式,電子版
相關連結
SDGs
  • 尊嚴就業與經濟發展,產業創新與基礎設施,水下生命
Google+ 推薦功能,讓全世界都能看到您的推薦!