摘要
本文就平衡的（Balanced）双向分类随机效应套模型，讨论了主效应均值滑动模型的异常值检验问题，并给出了似然比检验统计量．在零假设及备择假设下导出了检验统计量的分布，证明了检验的一致最优无编（UMPU）性．最后对相关问题进行了讨论．
In this paper, we study outlier testing problem under the mean-shift model of main effects in balanced two-way nested classification. The likelihood ratio statistic is derived ,and its distribution under the null and alternative hypothesis are obtained respectiverly. A property of uniformly most powerful unbiasedness (UMPU) is proved. Finally some related topics are discussed.
出处
《应用概率统计》
CSCD
北大核心
1997年第2期125-132,共8页
Chinese Journal of Applied Probability and Statistics
基金
国家自然科学基金
云南省科学基金
