On determining the number of upper or lower outliers in normal sample by least squares procedure

DOI10.1080/02522667.2003.10699555zbMath1053.62030OpenAlexW2055706266MaRDI QIDQ4469131

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Publication date: 14 June 2004

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.2003.10699555

zbMATH Keywords

order statisticsnormal distribution

Mathematics Subject Classification ID

Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (1)

Computational algorithm of least absolute deviation method for determining number of outliers under normality

Cites Work

• Unmasking test for multiple upper or lower outliers in normal samples
• Unnamed Item

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