期刊論文

標題 Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM
學年 98
學期 2
出版(發表)日期 2010/03/01
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; Wooi, Khai Lim; Lin, Jyh-Jiuan
單位 淡江大學統計學系
出版者 Springer-Verlag
著錄名稱、卷期、頁數 Computational Statistics 25(1), pp.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 Comparing means; Hypothesis testing; Power function; Size; Primary 62F03; 62F25; Secondary 62E17
語言 英文
ISSN 0943-4062;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 英國
公開徵稿
出版型式 紙本;電子版