Tables and Large-Sample Distribution Theory for Censored-Data Correlation Statistics for Testing Normality
From MaRDI portal
Publication:3827385
DOI10.2307/2290156zbMath0673.62015OpenAlexW4240516216MaRDI QIDQ3827385
No author found.
Publication date: 1988
Full work available at URL: https://doi.org/10.2307/2290156
rate of convergenceorder statisticsstatisticnormal probability plotShapiro-Wilktable of critical valuessmall-sample powerempirical power studycorrelation statistictest-of-normality
Related Items (6)
Weighted \(W\) test for normality and asymptotics a revisit of Chen--Shapiro test for normality ⋮ The limit distribution of a modified Shapiro-Wilk statistic for normality to type II censored data ⋮ Maximum Likelihood Ratio Tests for Comparing the Discriminatory Ability of Biomarkers Subject to Limit of Detection ⋮ The large sample distribution of the Shapiro-Wilk statistic and its variants under type I or type II censoring ⋮ An empirical power comparison of univariate goodness-of-fit tests for normality ⋮ Applied regression analysis bibliography update 1988-89
This page was built for publication: Tables and Large-Sample Distribution Theory for Censored-Data Correlation Statistics for Testing Normality