[1] M. R. Ozkale, A jackknifed ridge estimator in the linear regression model with heteroscedastic or correlated errors, Statist. Probab. Lett. 78 (2008), 3159-3169.
[2] F. X. Jin, Statistical features of a linear model and their application to data processing, Survey Review 36(281) (2001), 202-213.
[3] B. Schaffrin, A generalized Lagrange function approach to include fiducial constraints, Zeitschrift für Vermessungswesen 120(7) (1995), 325-333.
[4] G. R. Guil, B. Engela, C. Norberto and C. Ana, Least squares estimation of linear regression models for convex compact random sets, Advances in Data Analysis and Classification 1 (2007), 67-81.
[5] F. R. Hampel, E. M. Ronchetti, P. J. Rousseeuw and W. A. Stahel, Robust Statistics, John Wiley & Sons, New York, 1986.
[6] H. Cui, On asymptotics of t-type regression estimation in multiple linear model, Sci. China Ser. A 47(4) (2004), 628-639.
[7] A. E. Hoerl and R. W. Kennard, Ridge regression: biased estimation for non-orthogonal problems, Technometrics 12 (1970), 55-67.
[8] Y. Li and H. Yang, A new stochastic mixed ridge estimator in linear regression model, Statist. Papers 51 (2010), 315-323.
[9] S. Sakallioglu and S. Kaciranlar, A new biased estimator based on ridge estimation, Statist. Papers 49 (2008), 669-689.
[10] H. L. Koul and D. Surgailis, Asymptotic normality of the Whittle estimator in linear regression models with long memory errors, Stat. Inference Stoch. Process. 3 (2000), 129-147.
[11] T. Shiohama and M. Taniguchi, Sequential estimation for time series regression models, J. Statist. Plann. Inference 123 (2004), 295-312.
[12] H. Yang and J. Xu, An alternative stochastic restricted Liu estimator in linear regression, Statist. Papers 50 (2009), 639-647.
[13] S. Lipovetsky, Enhanced ridge regressions, Math. Comput. Modelling 51 (2010), 338-348.
[14] M. H. Quenouille, Notes on bias in estimation, Biometrika 43 (1956), 353-360.
[15] T. A. Bardadym and A. V. Ivanov, Asymptotic expansions associated with the jackknife functional I, Ukrainian Math. J. 47(4) (1995), 513-523.
[16] Y. Romn-Montoya, M. Rueda and A. Arcos, Confidence intervals for quantile estimation using jackknife techniques, Comput. Statist. 23 (2008), 573‑585.
[17] P. J. Brockwell and R. A. Davis, Time Series: Theory and Methods, Springer-Verlag, New York, 1987.
[18] T. Jiang, Q. Zhang, L. Zhou, M. Jiao and X. Wang, Research on nonlinear regression model based on wavelet method, Acta Geodaetica et Cartographica Sinica 35(4) (2006), 337-341.
[19] H. Hu, QML estimators in linear regression models with functional coefficient autoregressive process, Math. Probl. Eng. 2010 (2010), 30, doi:10.1155/2010/956907. |