秩统计量(rank statistic)是用于统计检验的一种统计量。使用秩统计量的统计方法为秩统计方法，或简称秩方法。秩方法主要用于统计检验，称为秩检验。秩方法最主要的优点是由秩方法构造的检验统计量在原假设下往往是分布无关的。
线性秩统计量SN linear rank statistics S_N
配对样本符号秩统计量 [统计] paired sample signed-rank statistic
单样本符号秩统计量 one sample signed rank statistic
区间秩统计量 Interval rank statistic
秩序统计量 [数] rank order statistic
威尔科克森秩和统计量 Wilcoxon rank-sum statistic
二样本秩和统计量 two-sample rank-sum statistic
本文用凸函数构造了线性次序统计量和线性秩统计量，并证明了它们的渐近正态性。
In this paper, we use the convex function to form the order statistic and the linear rank statistic, and the asymptotic normality of the statistics are proved.
线性次序统计量和线性秩统计量是数理统计中两类很重要的统计量，在应用上经常使用，很多形式的统计量都是属于这两类统计量。
Linear order statistic and linear rank statistic are two kinds of important statistics in the mathematical statistics. They are used widely and a lot of the other statistics belonging to them.
将秩次转换为正态计分，并以此为基础计算检验统计量。
The ranks were transformed into the normal scores by which the test statistics were calculated.
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