A Graphical Tool for Assessing Normality

DOI10.1198/0003130032341zbMath1182.62006OpenAlexW1972841730WikidataQ58276862 ScholiaQ58276862MaRDI QIDQ5189928

Martin L. Hazelton

Publication date: 11 March 2010

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/0003130032341

zbMATH Keywords

kernel density estimationMonte Carlo testAnderson-Darling testShapiro-Wilk testCramér-von-Mises test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Monte Carlo methods (65C05) Graphical methods in statistics (62A09)

Related Items (2)

Preliminary Goodness-of-Fit Tests for Normality do not Validate the One-Sample Student t ⋮ A comparison of various tests of normality

Uses Software

• KernSmooth
• pyuvdata

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