Ordinary and Bayesian Shrinkage Estimation
Authors:
Article info
2006-11-22
2007-05-29
2007-05-29
101 - 116
Keywords
Abstract
In this paper a variety of shrinkage methods for estimating unknown population parameters has been considered. Aprior distribution for the parameters around their natural origins has been postulated and the ordinary Bayes estimators are used in place of natural origins in the ordinary shrinkage estimators to obtain Bayesian shrinkage estimators. The results are applied to the problem of estimating the location and scale parameters and the reliability function of the two-parameter exponential distribution. Simulation experiments are used to study the performances of these estimators.
Qabaha, M. (2007). Ordinary and Bayesian Shrinkage Estimation. An-Najah University Journal for Research - A (Natural Sciences), 21(1), 101–116. https://doi.org/10.35552/anujr.a.21.1.583
[1]M. Qabaha, “Ordinary and Bayesian Shrinkage Estimation,” An-Najah University Journal for Research - A (Natural Sciences), vol. 21, no. 1, pp. 101–116, May 2007, doi: 10.35552/anujr.a.21.1.583.
Qabaha, Mohammad. “Ordinary and Bayesian Shrinkage Estimation.” An-Najah University Journal for Research - A (Natural Sciences), vol. 21, no. 1, May 2007, pp. 101–16. Crossref, https://doi.org/10.35552/anujr.a.21.1.583.
1.Qabaha M. Ordinary and Bayesian Shrinkage Estimation. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2007 May;21(1):101–16. Available from: http://dx.doi.org/10.35552/anujr.a.21.1.583
Qabaha, Mohammad. “Ordinary and Bayesian Shrinkage Estimation.” An-Najah University Journal for Research - A (Natural Sciences) 21, no. 1 (May 2007): 101–16. https://doi.org/10.35552/anujr.a.21.1.583.
Ordinary and Bayesian Shrinkage Estimation
المؤلفون:
معلومات المقال
2006-11-22
2007-05-29
2007-05-29
101 - 116
الكلمات الإفتتاحية
الملخص
In this paper a variety of shrinkage methods for estimating unknown population parameters has been considered. Aprior distribution for the parameters around their natural origins has been postulated and the ordinary Bayes estimators are used in place of natural origins in the ordinary shrinkage estimators to obtain Bayesian shrinkage estimators. The results are applied to the problem of estimating the location and scale parameters and the reliability function of the two-parameter exponential distribution. Simulation experiments are used to study the performances of these estimators.
Qabaha, M. (2007). Ordinary and Bayesian Shrinkage Estimation. An-Najah University Journal for Research - A (Natural Sciences), 21(1), 101–116. https://doi.org/10.35552/anujr.a.21.1.583
[1]M. Qabaha, “Ordinary and Bayesian Shrinkage Estimation,” An-Najah University Journal for Research - A (Natural Sciences), vol. 21, no. 1, pp. 101–116, May 2007, doi: 10.35552/anujr.a.21.1.583.
Qabaha, Mohammad. “Ordinary and Bayesian Shrinkage Estimation.” An-Najah University Journal for Research - A (Natural Sciences), vol. 21, no. 1, May 2007, pp. 101–16. Crossref, https://doi.org/10.35552/anujr.a.21.1.583.
1.Qabaha M. Ordinary and Bayesian Shrinkage Estimation. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2007 May;21(1):101–16. Available from: http://dx.doi.org/10.35552/anujr.a.21.1.583
Qabaha, Mohammad. “Ordinary and Bayesian Shrinkage Estimation.” An-Najah University Journal for Research - A (Natural Sciences) 21, no. 1 (May 2007): 101–16. https://doi.org/10.35552/anujr.a.21.1.583.
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