標題
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A nonparametric procedure for testing partially ranked data |
學年
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105 |
學期
|
2 |
出版(發表)日期
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2017/03/20 |
作品名稱
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A nonparametric procedure for testing partially ranked data |
作品名稱(其他語言)
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著者
|
Jyh-Shyang Wu and Wen-Shuenn Deng |
單位
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出版者
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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
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Anderson’s test;partially ranked data;chi-square test;imposed rank;contingency table;U-statistics;root-n local alternatives |
語言
|
英文(美國) |
ISSN
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期刊性質
|
國外 |
收錄於
|
SCI; |
產學合作
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通訊作者
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審稿制度
|
是 |
國別
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美國 |
公開徵稿
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出版型式
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,電子版,紙本 |