A general restricted estimator in binary logistic regression in the presence of multicollinearity
Author:
Affiliation:
1. Department of Mathematics & Statistics, Banasthali Vidyapith, Banasthali-304022 Rajasthan, India
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability
Reference35 articles.
1. Abdel-Fattah, M. A. (2020). On a new class of binomial ridge-type regression estimators. Communications in Statistics—Simulation and Computation.
2. Aguilera, A. M., Escabias, M. and Valderrama, M. J. (2006). Using principal components for estimating logistic regression with high-dimensional multicollinear data. Computational Statistics & Data Analysis 50, 1905–1924.
3. Asar, Y., Arashi, M. and Wu, J. (2017). Restricted ridge estimator in the logistic regression model. Communications in Statistics Simulation and Computation 46, 6538–6544.
4. Baksalary, J. K. and Trenkler, G. (1991). Nonnegative and positive definiteness of matrices modified by two matrices of rank one. Linear Algebra and Its Applications 151, 169–184.
5. Baye, M. R. and Parker, D. F. (1984). Combining ridge and principal component regression: A money demand illustration. Communications in Statistics Theory and Methods 13, 197–205.
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