期刊論文
| 學年 | 105 |
|---|---|
| 學期 | 2 |
| 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 and Wen-Shuenn Deng |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Nonparametric Statistics, vol.29, no.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 | en_US |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111883 ) |