正态性
单因素方差分析
差异(会计)
统计假设检验
计量经济学
学生化范围
Levene试验
无效假设
统计的
应用数学
样本量测定
正态分布
考试(生物学)
作者
S. S. Shapiro,R. S. Francia
标识
DOI:10.1080/01621459.1972.10481232
摘要
Abstract This article presents a modification of the Shapiro-Wilk W statistic for testing normality which can be used with large samples. Shapiro and Wilk gave coefficients and percentage points for sample sizes up to 50. These coefficients required obtaining an approximation to the covariance matrix of the normal order statistics. The proposed test uses coefficients which depend only on the expected values of the normal order statistics which are generally available. Results of an empirical sampling study to compare the sensitivity of the test statistic to the W test statistic are briefly discussed.
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