Improved Estimators of the Mean of a Normal Distribution with a Known Coefficient of Variation
Joint Authors
Srisodaphol, Wuttichai
Tongmol, Noppakun
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-11
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
This paper is to find the estimators of the mean θ for a normal distribution with mean θ and variance aθ2, a>0, θ>0.
These estimators are proposed when the coefficient of variation is known.
A mean square error (MSE) is a criterion to evaluate the estimators.
The results show that the proposed estimators have preference for asymptotic comparisons.
Moreover, the estimator based on jackknife technique has preference over others proposed estimators with some simulations studies.
American Psychological Association (APA)
Srisodaphol, Wuttichai& Tongmol, Noppakun. 2012. Improved Estimators of the Mean of a Normal Distribution with a Known Coefficient of Variation. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-499618
Modern Language Association (MLA)
Srisodaphol, Wuttichai& Tongmol, Noppakun. Improved Estimators of the Mean of a Normal Distribution with a Known Coefficient of Variation. Journal of Probability and Statistics No. 2012 (2012), pp.1-5.
https://search.emarefa.net/detail/BIM-499618
American Medical Association (AMA)
Srisodaphol, Wuttichai& Tongmol, Noppakun. Improved Estimators of the Mean of a Normal Distribution with a Known Coefficient of Variation. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-499618
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499618