F-probability plot and its application to multivariate normality

DOI10.1080/03610929208830828zbMath0800.62343OpenAlexW2068153987MaRDI QIDQ3135629

Sung K. Ahn

Publication date: 11 October 1993

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929208830828

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Multivariate analysis (62H99) Graphical methods in statistics (62A09)

Related Items (14)

Generalized \(T_{3}\)-plot for testing high-dimensional normality ⋮ A new approach to the BHEP tests for multivariate normality ⋮ A Q–Q plot for detecting non-multinormality based on a normal characterization and the S–W statistic ⋮ Extreme smoothing and testing for multivariate normality ⋮ An Appraisal and Bibliography of Tests for Multivariate Normality ⋮ Some Applications of Läuter's Technique in Tests for Spherical Symmetry ⋮ \(T_3\)-plot for testing spherical symmetry for high-dimensional data with a small sample size ⋮ A New Graphical Test for Multivariate Normality ⋮ Testing multinormality based on low-dimensional projection ⋮ Characterization-based Q--Q plots for testing multinormality ⋮ A multivariate version of Ghosh's \(T_{3}\)-plot to detect non-multinormality. ⋮ A \(t\)-distribution plot to detect non-multinormality. ⋮ Invariant tests for multivariate normality: A critical review ⋮ Tests for multinormality with applications to time series

Cites Work

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• Descriptive statistics for multivariate distributions
• Asymptotic distribution of the Shapiro-Wilk W for testing for normality
• A Test of Fit for Multivariate Distributions
• The Probability Plot Correlation Coefficient Test for Normality
• Testing multivariate normality
• Measures of multivariate skewness and kurtosis with applications
• An omnibus test of normality for moderate and large size samples

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