教師資料查詢 | 類別: 期刊論文 | 教師: 林志娟LIN JYH-JIUAN (瀏覽個人網頁)

標題:Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM
學年97
學期2
出版(發表)日期2009/06/27
作品名稱Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM
作品名稱(其他語言)
著者Chang, Ching-Hui; Pal, Nabendu; Lim, Wooi Khai; Lin, Jyh-Jiuan
單位淡江大學統計學系
出版者Heidelberg: Physica-Verlag GmbH und Co.
著錄名稱、卷期、頁數Computational Statistics 25(1), p.71-95
摘要This paper deals with testing the equality of several homoscedastic normal population means. We introduce a newly developed computational approach test (CAT), which is essentially a parametric bootstrap method, and discuss its merits and demerits. In the process of studying the CAT’s usefulness, we compare it with the traditional one-way ANOVA’s F test as well as the analysis of means (ANOM) method. Further, the model robustness of the above three methods have been studied under the ‘t-model’. The motivation behind the proposed CAT is to provide the applied researchers a statistical tool to carry out a comparison of several population means, in a parametric setup, without worrying about the sampling distribution of the inherent test statistic. The CAT can be used to test the equality of several means when the populations are assumed to be heteroscedastic t-distributions.
關鍵字Production;Random defective rate;Failure in repair;Backlogging;Arithmetic-geometric mean inequality
語言英文
ISSN0943-4062; 1613-9658
期刊性質國外
收錄於SCI;
產學合作
通訊作者Chang, Ching-Hui
審稿制度
國別德國
公開徵稿
出版型式,紙本
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