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A simple more general boxplot method for identifying outliers

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  • Schwertman, Neil C.
  • Owens, Margaret Ann
  • Adnan, Robiah

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  • Schwertman, Neil C. & Owens, Margaret Ann & Adnan, Robiah, 2004. "A simple more general boxplot method for identifying outliers," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 165-174, August.
    • Handle: RePEc:eee:csdana:v:47:y:2004:i:1:p:165-174
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    References listed on IDEAS

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    1. A.C. Kimber, 1990. "Exploratory Data Analysis for Possibly Censored Data from Skewed Distributions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(1), pages 21-30, March.
    2. Kay I. Penny, 1996. "Appropriate Critical Values When Testing for a Single Multivariate Outlier by Using the Mahalanobis Distance," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(1), pages 73-81, March.
    3. Carling, Kenneth, 2000. "Resistant outlier rules and the non-Gaussian case," Computational Statistics & Data Analysis, Elsevier, vol. 33(3), pages 249-258, May.
    4. J. Bacon‐Shone & W. K. Fung, 1987. "A New Graphical Method for Detecting Single and Multiple Outliers in Univariate and Multivariate Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(2), pages 153-162, June.
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    8. Schwertman, Neil C. & de Silva, Rapti, 2007. "Identifying outliers with sequential fences," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3800-3810, May.
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    12. Michael Martin & Steven Roberts, 2006. "An evaluation of bootstrap methods for outlier detection in least squares regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(7), pages 703-720.
    13. Babek Erdebilli & Burcu Devrim-İçtenbaş, 2022. "Ensemble Voting Regression Based on Machine Learning for Predicting Medical Waste: A Case from Turkey," Mathematics, MDPI, vol. 10(14), pages 1-16, July.
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    15. Hubert, M. & Vandervieren, E., 2008. "An adjusted boxplot for skewed distributions," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5186-5201, August.

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