Signed-Rank Tests for Censored Matched Pairs
针对配对实验中观测值存在单侧删失的情况，研究了检验双变量对称性的符号秩检验方法，推导了检验统计量的渐近分布并比较了效率。
Abstract I consider the problem of testing bivariate symmetry in matched-pair experiments where the observations are subject to univariate censoring. Thus the observable random variables are given by (Y 1, Y 2) and (δ1, δ2), where Y j = min(X j , C) and δ j = I(X j ≤ C) (j = 1, 2). Here (X 1, X 2) is a random pair of partially observable lifetimes and C is a fixed or random censoring variable. The hypothesis to be tested is that (X 1, X 2) and (X 2, X 1) have the same distribution. Following Woolson and Lachenbruch (1980), I consider censored data generalizations of signed-rank tests such as the sign, signed Wilcoxon, and signed-normal scores tests. I derive the asymptotic distribution of these test statistics under fixed and contiguous alternatives. The efficiencies of the signed-rank tests are considered in a log-linear model and compared with efficiencies of the paired Prentice-Wilcoxon and log-rank tests.