References
- Algamal, Z. Y. 2020. Shrinkage parameter selection via modified cross-validation approach for ridge regression model. Communications in Statistics - Simulation and Computation 49 (7):1922–30. doi:10.1080/03610918.2018.1508704.
- Amin, M., M. Qasim, M. Amanullah, and S. Afzal. 2020a. Performance of some ridge estimators for the gamma regression model. Statistical Papers 61 (3):997–1026. doi:10.1007/s00362-017-0971-z.
- Amin, M., M. N. Akram, and Q. Ramzan. 2020b. Bayesian estimation of ridge parameter under different loss functions. Communications in Statistics Theory and Methods. Advance online publication. doi:10.1080/03610926.2020.1809675.
- Arashi, M., S. M. M. Tabatabaey, and M. H. Bashtian. 2014. Shrinkage ridgeestimators in linear regression. Communications in Statistics - Simulation and Computation 43 (4):871–904. doi:10.1080/03610918.2012.718838.
- Arnold, B. C., and S. J. Press. 1989. Bayesian estimation and prediction for Pareto data. Journal of the American Statistical Association 84 (408):1079–84. doi:10.1080/01621459.1989.10478875.
- Firinguetti, L., B. M. G. Kibria, and R. Araya. 2017. Study of partial least squares and ridge regression methods. Communications in Statistics - Simulation and Computation 46 (8):6631–44. doi:10.1080/03610918.2016.1210168.
- Firinguetti-Limone, L., and M. Pereira-Barahona. 2020. Bayesian estimation of the shrinkage parameter in ridge regression. Communications in Statistics Simulation and Computation 49 (12):3314–27.
- Frisch, R. 1934. Statistical confluence analysis by means of complete regression analysis. Publication 5, University Institute of Economics, Oslo.
- Hoerl, A. E., R. W. Kennard, and K. F. Baldwin. 1975. Ridge regression: Some simulations. Communications in Statistics - Simulation and Computation 4 (2):105–23. doi:10.1080/03610917508548342.
- Hoerl, A. E., and R. W. Kennard. 1970. Ridge regression: Applications tononorthogonal problems. Technometrics 12 (1):69–82. doi:10.1080/00401706.1970.10488635.
- Khalaf, G., K. Månsson, and G. Shukur. 2013. Modified ridge regression estimators. Communications in Statistics - Theory and Methods 42 (8):1476–87. doi:10.1080/03610926.2011.593285.
- Kibria, B. M. G. 2003. Performance of some new ridge regression estimators. Communications in Statistics - Simulation and Computation 32 (2):419–35. doi:10.1081/SAC-120017499.
- Kibria, B. M. G. 2012. Some Liu and ridge-type estimators and their properties under the ill-conditioned Gaussian linear regression model. Journal of Statistical Computation and Simulation 82 (1):1–17. doi:10.1080/00949655.2010.519705.
- Krishna, H. V., and K. Kumar. 2015. Estimation in Maxwell distribution with randomly censored data. Journal of Statistical Computation and Simulation 85:3560–78.
- Kumar, M., A. Pathak, and S. Soni. 2019. Bayesian inference for Rayleigh distribution under step-stress partially accelerated test with progressive type-II censoring with binomial removal. Annals of Data Science 6 (1):117–52. doi:10.1007/s40745-019-00192-w.
- Mallick, H., and N. Yi. 2013. Bayesian methods for high dimensional linear models. Journal of Biometrics & Biostatistics 1:005 doi:10.4172/2155-6180.S1-005.
- Månsson, K., G. Shukur, and B. M. G. Kibria. 2010. On some ridge regression estimators: A Monte Carlo simulation study under different error variances. Journal of Statistics 17 (1):1–22.
- Muniz, G., B. M. G. Kibria, and G. Shukur. 2012. On developing ridge regression parameters: A graphical investigation. SORT 36 (2):115–38.
- Muniz, G., and B. M. G. Kibria. 2009. On some ridge regression estimators: An empirical comparisons. Communications in Statistics - Simulation and Computation 38 (3):621–30. doi:10.1080/03610910802592838.
- Qasim, M., M. Amin, and T. Omer. 2020. Performance of some new Liu parameters for the linear regression model. Communications in Statistics - Theory and Methods 49 (17):4178–96. doi:10.1080/03610926.2019.1595654.
- Sokal, R. R., and F. J. Rohlf. 1981. Lecture notes on ridge regression. Biometry, 2nd edition, San Francisco: W. H. Freeman and Co.
- Tierney, L., and J. B. Kadane. 1986. Accurate approximations for posterior moments and marginal densities. Journal of the American Statistical Association 81 (393):82–6. doi:10.1080/01621459.1986.10478240.