References
- Baranchik, A. J. 1970. A family of minimax estimators of the mean of a multivariate normal distribution. The Annals of Mathematical Statistics 41:642–5.
- Brownstone, D. 1990. Bootstrapping improved estimators for linear regression models. Journal of Econometrics 44:171–87.
- Chi, X. W., and G. Judge. 1985. On assessing the precision of Stein’s estimator. Economics Letters 18:143–8.
- Dwivedi, T., and V. Srivastava. 1978. On the minimum mean squared error estimators in a regression model. Communications in Statistics-Theory and Methods 7:487–94.
- Efron, B. 1979. Bootstrap methods: Another look at the jackknife. Annals of Statistics 7:1–26.
- Farebrother, R. W. 1975. The minimum mean square error linear estimator and ridge regression. Technometrics 17:127–8.
- James, W., and C. Stein. 1961. Estimation with quadratic loss. In Proceedings of the fourth Berkeley symposium on mathematical statistics and probability, Jerzy Neyman, ed. vol. 1, 361–79. Berkeley: University of California Press.
- Namba, A. 2000. MSE dominance of the PT-2SHI estimator over the positive-part Stein-rule estimator in regression. Journal of Statistical Planning and Inference 89:175–85.
- Ohtani, K. 1996a. Exact small sample properties of an operational variant of the minimum mean squared error estimator. Communications in statistics-Theory and methods 25:1223–31.
- Ohtani, K. 1996b. On an adjustment of degrees of freedom in the minimum mean squared error estimator. Communications in Statistics-Theory and Methods 25:3049–58.
- Ohtani, K. 1997. Minimum mean squared error estimation of each individual coefficient in a linear regression model. Journal of Statistical Planning and Inference 62:301–16.
- Ohtani, K. 1999. MSE performance of a heterogeneous pre-test estimator. Statistics & probability Letters 41:65–71.
- Stein, C. 1956. Inadmissibility of the usual estimator for the mean of a multivariate normal distribution. In Proceedings of the Third Berkeley symposium on mathematical statistics and probability, vol. 1, 197–206. Berkeley: University of California Press.
- Theil, H. 1971. Principles of econometrics. New York: John Wiley.
- Tracy, D. S., and A. K. Srivastava. 1994. Comparison of operational variants of best homogeneous and heterogeneous estimators in linear regression. Communications in Statistics-Theory and Methods 23:2313–22.
- Van Hoa, T., and A. Chatruvedi. 1990. Further results on the two-stage hierarchial information (2SHI) estimators in the linear regression models. Communications in Statistics-Theory and Methods 19:4697–704.
- Vinod, H. 1976. Simulation and extension of a minimum mean squared error estimator in comparison with Stein’s. Technometrics 18:491–6.
- Yi, G. 1991. Estimating the variability of the Stein estimator by bootstrap. Economics Letters 37:293–8.
- Zaman, A. 1996. Statistical foundations for econometric techniques. London: Academic Press.