Unmasking test for multiple upper or lower outliers in normal samples

DOI10.1080/02664769823241zbMath0934.62022OpenAlexW2006264905MaRDI QIDQ4266294

Jin Zhang, Xue Ren Wang

Publication date: 25 April 2000

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664769823241

zbMATH Keywords

multiple outliersblock testsconsecutive tests

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (7)

Computational algorithm of least absolute deviation method for determining number of outliers under normality ⋮ The null distribution of the likelihood-ratio test for two upper outliers in a gamma sample ⋮ Features and performance of some outlier detection methods ⋮ The null distribution of the likelihood-ratio test for one or two outliers in a normal sample ⋮ A note on determining the number of outliers in a normal sample with unequal variances by least squares procedure ⋮ On null and alternative distribution of statistic of two-side discordancy test for an extreme outlier ⋮ On determining the number of upper or lower outliers in normal sample by least squares procedure

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