کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4640259 | 1341268 | 2011 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Efficiency of a Liu-type estimator in semiparametric regression models Efficiency of a Liu-type estimator in semiparametric regression models](/preview/png/4640259.png)
In this paper we consider the semiparametric regression model, y=Xβ+f+εy=Xβ+f+ε. Recently, Hu [11] proposed ridge regression estimator in a semiparametric regression model. We introduce a Liu-type (combined ridge-Stein) estimator (LTE) in a semiparametric regression model. Firstly, Liu-type estimators of both ββ and ff are attained without a restrained design matrix. Secondly, the LTE estimator of ββ is compared with the two-step estimator in terms of the mean square error. We describe the almost unbiased Liu-type estimator in semiparametric regression models. The almost unbiased Liu-type estimator is compared with the Liu-type estimator in terms of the mean squared error matrix. A numerical example is provided to show the performance of the estimators.
Journal: Journal of Computational and Applied Mathematics - Volume 235, Issue 5, 1 January 2011, Pages 1418–1428