Nonlinear principal components. II: Characterization of normal distributions

DOI10.1016/j.jmva.2008.07.001zbMath1169.62058OpenAlexW2104171973MaRDI QIDQ1002347

Ernesto Salinelli

Publication date: 25 February 2009

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2008.07.001

zbMATH Keywords

Hermite polynomialsChernoff inequalitynormal distributions

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Applications of operator theory in probability theory and statistics (47N30)

Related Items (3)

A new powerful version of the BUS test of normality ⋮ Optimal nonlinear transformations of random variables ⋮ Exploring the statistical applicability of the Poincaré inequality: a test of normality

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