On the restricted almost unbiased Liu estimator in the logistic regression model

References

• Akdeniz, F., and S. Kaçıranlar. 1995. On the almost unbiased generalized Liu estimator and unbiased estimation of the bias and MSE. Communications in Statistics - Theory and Methods 24:1789–97.
   Web of Science ®Google Scholar
• Alheety, M. I., and B. G. Kibria. 2009. On the Liu and almost unbiased Liu estimators in the presence of multicollinearity with heteroscedastic or correlated errors. Surveys in Mathematics and its Applications 4:155–67.
   Google Scholar
• Asar, Y., and A. Genc. 2016. New shrinkage parameters for the Liu-type logistic estimators. Communications in Statistics-Simulation and Computation 45 (3):1094–103.
   Web of Science ®Google Scholar
• Asar, Y. 2017. Some new methods to solve multicollinearity in logistic regression. Communications in Statistics-Simulation and Computation 46 (4):2576–86.
   Web of Science ®Google Scholar
• Baksalary, J. K., and R. Kala. 1983. Partial orderings between matrices one of which is of rank one. Bulletin of the Polish Academy of Sciences Mathematics 31:5–7.
   Google Scholar
• Chang, X. F. 2015. On the almost unbiased Ridge and Liu estimator in the Logistic regression model. International Conference on Social Science, Education Management and Sports Education 1–3.
   Google Scholar
• Duffy, D. E., and T. J. Santner. 1989. On the small sample properties of norm-restricted maximum likelihood estimators for logistic regression models. Communications in Statistics - Theory and Methods 18:959–80.
   Web of Science ®Google Scholar
• Gibbons, D. G. 1981. A simulation study of some ridge estimators. Journal of the American Statistical Association 76:131–9.
   Web of Science ®Google Scholar
• Kaçıranlar, S., S. Sakalloglu, F. Akdeniz, G. P. H. Styan, and H. J. Werner. 1999. A new biased estimator in linear regression and a detailed analysis of the widely analyzed dataset on Portland cement. Sankhya 31:443–59.
   Google Scholar
• Kibria, B. M. G. 2003. Performance of some new ridge regression estimators. Communications in Statistics - Theory and Methods 32:419–35.
   Web of Science ®Google Scholar
• Liu, K. 1993. A new class of biased estimate in linear regression. Communications in Statistics - Theory and Methods 22:393–402.
   Web of Science ®Google Scholar
• Månsson, K., B. M. G. Kibria, and G. Shukur. 2011. On Liu estimators for the logit regression model. Royal Inst. Tech.(CESIS). Sweden, Paper No. 259.
   Google Scholar
• Månsson, K., B. G. Kibria, and G. Shukur. 2012. On Liu estimators for the logit regression model. Economic Model 29 (4):1483–8.
   Web of Science ®Google Scholar
• Månsson, K., B. M. Golam Kibria, and G. Shukur. 2016. A restricted Liu estimator for binary regression models and its application to an applied demand system. Journal of Applied Statistics 43 (6):1119–27.
   Web of Science ®Google Scholar
• Muniz, G., and B. G. Kibria. 2009. On some ridge regression estimators: An empirical comparisons. Communications in Statistics? Simulation and Computation 38 (3):621–30.
   Web of Science ®Google Scholar
• Saleh, A. M. E., and B. G. Kibria. 2013. Improved ridge regression estimators for the logistic regression model. Computational Statistics 28 (6):2519–58.
   Web of Science ®Google Scholar
• Schaefer, R. L., L. D. Roi, and R. A. Wolfe. 1984. A ridge logistic estimator. Communications in Statistics - Theory and Methods 13:99–113.
   Web of Science ®Google Scholar
• Şiray, G. U., S. Toker, and S. Kaçıranlar. 2015. On the restricted Liu estimator in the logistic regression model. Communications in Statistics - Simulation and Computation 44:217–32.
   Web of Science ®Google Scholar
• Shi, J. H. 2001. The conditional ridge-type estimation of regression coefficient in restricted linear regression model. Journal of Shanxi Teachers’ University Natural Science Edition 15:10–16.
   Google Scholar
• Wang, S. 1994. The inequalities of matrices. Hefei: The Education of Anhui Press.
   Google Scholar
• Xu, J. W., and H. Yang. 2011a. More on the bias and variance comparisons of the restricted almost unbiased estimators. Communications in Statistics - Theory and Methods 40:4053–64.
   Web of Science ®Google Scholar
• Xu, J. W., and H. Yang. 2011b. On the restricted almost unbiased estimators in linear regression. Journal of Applied Statistics 38:605–17.
   Web of Science ®Google Scholar