A \texttt{JAVA} program for the multivariate \(Z_{p}\) and \(C_{p}\) tests and its application

DOI10.1016/J.CAM.2010.08.035zbMath1220.65012OpenAlexW1758880317MaRDI QIDQ555160

İlknur Özmen, Güvenç Arslan

Publication date: 22 July 2011

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2010.08.035

zbMATH Keywords

simulationnumerical examplesmultivariate normality\(Z_{p}\) and \(C_{p}\) test statistics\texttt{JAVA} programmultivariate statistical analyses

Mathematics Subject Classification ID

Multivariate analysis (62H99) Packaged methods for numerical algorithms (65Y15)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A new test for multivariate normality
• Testing multivariate normality in incomplete data of small sample size
• A generalized Shapiro-Wilk \(W\) statistic for testing high-dimensional normality
• A power comparison and simulation study of goodness-of-fit tests
• Characterization-based Q--Q plots for testing multinormality
• Note on an Approximation to the Distribution of Non-Central χ 2
• Goodness-of-Fit Tests for Multivariate Distributions
• Order statistics in goodness of fit tests
• GOODNESS OF FIT STATISTICS BASED ON THE SPACINGS OF COMPLETE OR CENSORED SAMPLES
• The Probability Plot Correlation Coefficient Test for Normality
• Correlation type gogdness-of-fit statistics with censored sampling
• An analysis of variance test for normality (complete samples)

This page was built for publication: A \texttt{JAVA} program for the multivariate \(Z_{p}\) and \(C_{p}\) tests and its application