Estimation of Scale Parameter Under a Bounded Loss Function

The quadratic loss function has been used by decision-theoretic statisticians and economists for many years.  In this paper  the estimation of scale parameter under a bounded loss function, which is adequate for assessing quality and quality improvement, is considered with restriction to the princip...

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Bibliographic Details
Main Author: N. Sanjari Farsipour
Format: Article
Language:English
Published: University of Tehran 2016-04-01
Series:Journal of Sciences, Islamic Republic of Iran
Subjects:
Online Access:https://jsciences.ut.ac.ir/article_57004_098efcfea12d14d2c1c50f822f764e4e.pdf
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Summary:The quadratic loss function has been used by decision-theoretic statisticians and economists for many years.  In this paper  the estimation of scale parameter under a bounded loss function, which is adequate for assessing quality and quality improvement, is considered with restriction to the principles of invariance and risk unbiasedness. An implicit form of minimum risk scale equivariant estimator and Bayes estimators are obtained. Fisher’s problem of the Nile as an example is included.
ISSN:1016-1104
2345-6914