Volume 20, Issue 2 (12-2021)
JIRSS 2021, 20(2): 79-102 |
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Ganjealivand N, Ghapani F, Zaherzadeh A, Hormozinejad F. Stochastic Restricted Two-Parameter Estimator in Linear Mixed Measurement Error Models. JIRSS 2021; 20 (2) :79-102
URL: http://jirss.irstat.ir/article-1-711-en.html
URL: http://jirss.irstat.ir/article-1-711-en.html
Department of Mathematics and Statistics, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran. , f.ghapani@iau-shoushtar.ac.ir
Abstract: (931 Views)
In this study, the stochastic restricted and unrestricted two-parameter estimators of fixed and random effects are investigated in the linear mixed measurement error models. For this purpose, the asymptotic properties and then the comparisons under the criterion of mean squared error matrix (MSEM) are derived. Furthermore, the proposed methods are used for estimating the biasing parameters. Finally, a real data analysis and a simulation study are provided to evaluate the performance of the proposed estimators.
Keywords: Linear Mixed Measurement Error Model, Two Parameter Estimation, Stochastic Restricted Two Parameter Estimation, Mean-square Error Matrix.
Type of Study: Original Paper |
Subject:
62Jxx: Linear inference, regression
Received: 2020/11/1 | Accepted: 2021/06/1 | Published: 2022/04/12
Received: 2020/11/1 | Accepted: 2021/06/1 | Published: 2022/04/12
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