References:

[1] Akdeniz, F. & Ka¸ciranlar, S. (1995). On the almost unbiased generalized Liu estimator
and unbiased estimation of the bias and MSE. Communications in Statistics–Theory
and Methods, 24(7), 1789-1797.
[2] Akdeniz, F. & Ka¸ciranlar, S. (2001). More on the new biased estimator in linear regression.
Sankhya: The Indian Journal of Statistics, Series B, 63, 321-325.
[3] Alheety, M. I. & Kibria, B.M.G. (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, 155-167.
[4] Alheety, M. I. & Kibria, B. M. G. (2012). Modified Liu-Type estimator based on r − k
class estimator. Communications in Statistics–Theory and Methods, 42(2), 304-319.
[5] Duran, E. A. & Akdeniz, F. (2012). Efficiency of the modified jackknifed Liu-type
estimator. Statistical Papers, 53(2), 265-280.
[6] Farebrother, R. W. (1972). Principal component estimators and minimum mean square
error criteria in regression analysis. The Review of Economics and Statistics, 54(3),
332-336.
[7] Hald, A. (1952). Statistical Theory with Engineering Applications. Wiley, New York.
[8] Hoerl, A. E. & Kennard, R. W. (1970). Ridge regression: Biased estimation for
nonorthogonal problems. Technometrics, 12(1), 55-67.
[9] Hoerl, A.E., Kennard, R.W. & Baldwin, K. (1975). Ridge regression: Some simulations.
Communications in Statistics–Theory and Methods, 4, 105-123.
[10] Ka¸ciranlar, S., Sakallio˘glu, S., Akdeniz, F., Styan, G. P. & Werner, H. J. (1999). A
new biased estimator in linear regression and a detailed analysis of the widely-analysed
dataset on Portland cement. Sankhya: The Indian Journal of Statistics, Series B, 61,
443-459.
[11] Kadiyala, K. (1984). A class of almost unbiased and efficient estimators of regression
coefficients. Economics Letters, 16(3), 293-296.
[12] Khurana, M., Chaubey, Y. P., Chandra, S. (2014). Jackknifing the ridge regression
estimator: A revisit. Communications in Statistics–Theory and Methods, 43:24, 5249-
5262
[13] Kibria, B. M. G. (2003). Performance of some new ridge regression estimators. Communications
in Statistics-Simulation and Computation, 32(2), 419-435.
[14] Kibria, B.M.G. (2012). Kibria, B. 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.
[15] Liu, K. (1993). A new class of biased estimate in linear regression. Communications in
Statistics–Theory and Methods, 22(2), 393-402.
[16] Liu, K. (2003). Using Liu-type estimator to combat collinearity. Communications in
Statistics–Theory and Methods, 32(5), 1009-1020.
[17] McDonald, G. C. & Galarneau, D. I. (1975). A Monte-Carlo evaluation of some Ridgetype
estimators. Journal of the American Statistical Association, 70, 407-416.
[18] Ohtani, K. (1986). On small sample properties of the almost unbiased generalized ridge
estimator. Communications in Statistics–Theory and Methods, 15(5), 1571-1578.
[19] Singh, B., Chaubey, Y. P. & Dwivedi, T. D. (1986). An almost unbiased ridge estimator.
S¯ankhya: The Indian Journal of Statistics, Series B, 48, 342-346.
[20] 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, 1, 197-206.
[21] Woods, H., Steinour, H. H., and Starke, H. R. (1932). Effect of composition of Portland
cement on heat evolved during hardening. Industrial and Engineering Chemistry, 24,
1207-1214.