Data transformation technique to improve the outlier detection power of Grubbs' test for data expected to follow linear relation

DOI10.1155/2015/708948zbMath1435.62078DBLPjournals/jam/AdikaramHEB15OpenAlexW2044442680WikidataQ59111957 ScholiaQ59111957MaRDI QIDQ1756199

M. Effenberger, K. K. L. B. Adikaram, Mohamed A. Hussein, Thomas M. Becker

Publication date: 14 January 2019

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

Full work available at URL: https://doi.org/10.1155/2015/708948

Mathematics Subject Classification ID

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

Cites Work

• Percentage Points for a Generalized ESD Many-Outlier Procedure
• A complete solution to the problem of robustness of Grubbs's test
• On the effect of correlation and unequal variances in detecting a spurious observation
• Effect of equicorrelation in detecting a spurious observation
• On the Detection of Many Outliers
• Sample Criteria for Testing Outlying Observations
• A Sequential Markov Chain Monte Carlo Approach to Set-up Adjustment of a Process over a Set of Lots

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