Lavery, M. R., Acharya, P., Sivo, S. A., & Xu, L. (2019). Number of predictors and multicollinearity: What are their effects on error and bias in regression? Communications in statistics. Simulation and computation, 48(1), 27-38. https://doi.org/10.1080/03610918.2017.1371750
Chicago Style (17th ed.) CitationLavery, Matthew Ryan, Parul Acharya, Stephen A. Sivo, and Lihua Xu. "Number of Predictors and Multicollinearity: What Are Their Effects on Error and Bias in Regression?" Communications in Statistics. Simulation and Computation 48, no. 1 (2019): 27-38. https://doi.org/10.1080/03610918.2017.1371750.
MLA (9th ed.) CitationLavery, Matthew Ryan, et al. "Number of Predictors and Multicollinearity: What Are Their Effects on Error and Bias in Regression?" Communications in Statistics. Simulation and Computation, vol. 48, no. 1, 2019, pp. 27-38, https://doi.org/10.1080/03610918.2017.1371750.