UMPU Test of Outliers in Random-effects Model of Two-way Nested Classification

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.