A \(t\)-distribution plot to detect non-multinormality.

DOI10.1016/S0167-9473(98)00085-1zbMath1042.62502OpenAlexW2040905109MaRDI QIDQ1285480

Jia-Juan Liang, Peter M. Bentler

Publication date: 28 April 1999

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(98)00085-1

zbMATH Keywords

Q-Q plotgraphical methodstesting multinormality

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Monte Carlo methods (65C05) Graphical methods in statistics (62A09)

Related Items (7)

Generalized \(T_{3}\)-plot for testing high-dimensional normality ⋮ A Q–Q plot for detecting non-multinormality based on a normal characterization and the S–W statistic ⋮ 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 ⋮ Characterization-based Q--Q plots for testing multinormality ⋮ Tests for multivariate normality -- a critical review with emphasis on weighted $L^2$-statistics ⋮ Invariant tests for multivariate normality: A critical review

Cites Work

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• Conditional probability integral transformations and goodness-of-fit tests for multivariate normal distributions
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• The conditional probability integral transformation and applications to obtain composite chi-square goodness-of-fit tests
• F-probability plot and its application to multivariate normality
• Plotting squared radii
• Normal Scores, Normal Plots, and Tests for Normality
• Strong Consistency of Certain Sequential Estimators
• Unbiased Estimation of Some Multivariate Probability Densities and Related Functions
• Sufficiency and Statistical Decision Functions

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