Weighted \(W\) test for normality and asymptotics a revisit of Chen--Shapiro test for normality

DOI10.1016/S0378-3758(02)00110-6zbMath1026.62042OpenAlexW2012927866MaRDI QIDQ1873087

Ling Chen, Zhi-Dong Bai

Publication date: 19 May 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00110-6

zbMATH Keywords

asymptotic distributioneigenvaluecorrelation teststatisticShapiro-Wilk statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)

Related Items (3)

An empirical power comparison of univariate goodness-of-fit tests for normality ⋮ Data-driven smooth tests for a location-scale family revisited ⋮ Detection of non-Gaussianity

Cites Work

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• Asymptotic distributions for quadratic forms with applications to tests of fit
• Tables and Large-Sample Distribution Theory for Censored-Data Correlation Statistics for Testing Normality
• The Probability Plot Correlation Coefficient Test for Normality
• An Approximate Analysis of Variance Test for Non-Normality Suitable for Machine Calculation
• Correlation type gogdness-of-fit statistics with censored sampling
• An alernative test for normality based on normalized spacings
• An analysis of variance test for normality (complete samples)

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