關鍵字查詢 | 類別:期刊論文 | | 關鍵字:A nonparametric procedure for testing partially ranked data

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序號 學年期 教師動態
1 105/2 數學系 伍志祥 副教授 期刊論文 發佈 A nonparametric procedure for testing partially ranked data , [105-2] :A nonparametric procedure for testing partially ranked data期刊論文A nonparametric procedure for testing partially ranked dataJyh-Shyang Wu and Wen-Shuenn DengAnderson’s test;partially ranked data;chi-square test;imposed rank;contingency table;U-statistics;root-n local alternativesJournal of Nonparametric Statistics, vol.29, no.2, p.213~230In 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 securin
2 105/2 統計系 鄧文舜 教授 期刊論文 發佈 A nonparametric procedure for testing partially ranked data , [105-2] :A nonparametric procedure for testing partially ranked data期刊論文A nonparametric procedure for testing partially ranked dataJyh-Shyang Wu; Wen-Shuenn DengAnderson's test;partially ranked data;chi-square test;imposed rank;contingency table;U-statistics;root-n local alternativesJournal of Nonparametric Statistics 29(2), p.213-230In 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
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