Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model

Joint Authors

Shi, Xinhui
Liu, Donglin
Liu, Chaolin
Jiang, Haina

Source

Journal of Applied Mathematics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-04

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Mathematics

Abstract EN

We consider two kinds of weighted mixed almost unbiased estimators in a linear stochastic restricted regression model when the prior information and the sample information are not equally important.

The superiorities of the two new estimators are discussed according to quadratic bias and variance matrix criteria.

Under such criteria, we perform a real data example and a Monte Carlo study to illustrate theoretical results.

American Psychological Association (APA)

Liu, Chaolin& Jiang, Haina& Shi, Xinhui& Liu, Donglin. 2014. Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-462763

Modern Language Association (MLA)

Liu, Chaolin…[et al.]. Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-462763

American Medical Association (AMA)

Liu, Chaolin& Jiang, Haina& Shi, Xinhui& Liu, Donglin. Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-462763

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-462763