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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
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