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Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity

Chris Beaumont; D. A. Belsley; E. Kuh; R. E. Welsch · Journal of the Operational Research Society · 1981

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Author / responsible party
Chris Beaumont; D. A. Belsley; E. Kuh; R. E. Welsch
Publisher
Journal of the Operational Research Society
Year
1981
Language
English

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Summary

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1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

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APA 7

Beaumont, C, Belsley, D. A, Kuh, E, & Welsch, R. E. (1981). Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity. https://doi.org/10.2307/2581267

MLA

Beaumont, Chris, et al. "Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity." 1981. https://doi.org/10.2307/2581267.

Chicago

Beaumont, Chris, D. A. Belsley, E. Kuh, and R. E. Welsch. 1981. "Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity.". https://doi.org/10.2307/2581267.

Harvard

Beaumont, C. et al. 1981, Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity, Journal of the Operational Research Society, available at: https://doi.org/10.2307/2581267 [Accessed 7 Aug. 2026].

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Resource details

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Title
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
Author / contributors
Chris Beaumont; D. A. Belsley; E. Kuh; R. E. Welsch
Publisher
Journal of the Operational Research Society
Publication year
1981
Language
English

Subjects

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Collinearity; Computer science; Regression analysis; Regression; Data mining; Statistics; Econometrics; Data science; Mathematics; Machine learning
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