Ramaboa, K., & Underhill, L. (2014). Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data. Department of Statistical Sciences.
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Chicago Style (17th ed.) Citation
Ramaboa, Kutlwano, and Les Underhill. Contributions to Linear Regression Diagnostics Using the Singular Value Decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data. Department of Statistical Sciences, 2014.
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MLA (9th ed.) Citation
Ramaboa, Kutlwano, and Les Underhill. Contributions to Linear Regression Diagnostics Using the Singular Value Decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data. Department of Statistical Sciences, 2014.
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Warning: These citations may not always be 100% accurate.