The generalized ridge-type predictor in finite populations and its applications

Author

Zhang, Shangli ; Xue, Xiaowei ; Wu, Changchun ; Gui, Wenhao

Author_Institution

Sch. of Sci., Beijing Jiaotong Univ., Beijing, China

fYear

2011

fDate

25-27 June 2011

Firstpage

1

Lastpage

5

Abstract

In this paper, we investigate prediction problems in finite population. A new kind of biased predictor called generalized ridge-type predictor(GRP) is proposed, and some of its properties are obtained. We also show that the generalized ridge predictor dominate the best linear unbiased predictor(BLUP) under the prediction mean squared error(PMSE) subject to some restrictions. Numerical examples verify that the generalized ridge-type predictor is superior to the best linear unbiased predictor to evaluate the performance of the proposed predictor.

Keywords

mean square error methods; statistics; best linear unbiased predictor; finite populations; generalized ridge type predictor; prediction mean squared error; Economics; Eigenvalues and eigenfunctions; Estimation; Mathematical model; Predictive models; Research and development; Best linear unbiased predictor; Finite population; General ridge-type predictor; Linear model; Prediction mean squared error;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Systems and Service Management (ICSSSM), 2011 8th International Conference on

Conference_Location

Tianjin

ISSN

2161-1890

Print_ISBN

978-1-61284-310-0

Type

conf

DOI

10.1109/ICSSSM.2011.5959293

Filename

5959293