Shrinkage Estimator of Regression Model Under Asymmetric Loss
Article
Article Title | Shrinkage Estimator of Regression Model Under Asymmetric Loss |
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ERA Journal ID | 791 |
Article Category | Article |
Authors | Hoque, Zahirul, Wesolowski, Jacek and Hossain, Shahadut |
Journal Title | Communications in Statistics: Theory and Methods |
Journal Citation | 47 (22), pp. 5547-5557 |
Number of Pages | 11 |
Year | 2018 |
Publisher | Taylor & Francis |
Place of Publication | United States |
ISSN | 0361-0926 |
1532-415X | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/03610926.2017.1397169 |
Web Address (URL) | https://www.tandfonline.com/doi/abs/10.1080/03610926.2017.1397169 |
Abstract | This article investigates the performance of the shrinkage estimator (SE) of the parameters of a simple linear regression model under the LINEX loss criterion. The risk function of the estimator under the asymmetric LINEX loss is derived and analyzed. The moment-generating functions and the first two moments of the estimators are also obtained. The risks of the SE have been compared numerically with that of pre-test and least-square estimators (LSEs) under the LINEX loss criterion. The numerical comparison reveals that under certain conditions the LSE is inadmissible, and the SE is the best among the three estimators. |
Keywords | Linear regressio; Normal error; Shrinkage estimator; Pre-test estimator; INEX lossand risk function |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 490509. Statistical theory |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | United Arab Emirates University, United Arab Emirates |
Warsaw University of Technology, Poland |
https://research.usq.edu.au/item/z3qz4/shrinkage-estimator-of-regression-model-under-asymmetric-loss
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