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Preliminary test and Bayes Estimation of a Location Parameter Under Blinex Loss

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  • J. Coetsee
  • A. Bekker
  • S. Millard

Abstract

In this article, the preliminary test estimator is considered under the BLINEX loss function. The problem under consideration is the estimation of the location parameter from a normal distribution. The risk under the null hypothesis for the preliminary test estimator, the exact risk function for restricted maximum likelihood and approximated risk function for the unrestricted maximum likelihood estimator, are derived under BLINEX loss and the different risk structures are compared to one another both analytically and computationally. As a motivation on the use of BLINEX rather than LINEX, the risk for the preliminary test estimator under BLINEX loss is compared to the risk of the preliminary test estimator under LINEX loss and it is shown that the LINEX expected loss is higher than BLINEX expected loss. Furthermore, two feasible Bayes estimators are derived under BLINEX loss, and a feasible Bayes preliminary test estimator is defined and compared to the classical preliminary test estimator.

Suggested Citation

  • J. Coetsee & A. Bekker & S. Millard, 2014. "Preliminary test and Bayes Estimation of a Location Parameter Under Blinex Loss," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 43(17), pages 3641-3660, September.
    • Handle: RePEc:taf:lstaxx:v:43:y:2014:i:17:p:3641-3660
    DOI: 10.1080/03610926.2012.707737
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    Cited by:

    1. J. Kleyn & M. Arashi & S. Millard, 2018. "Preliminary test estimation in system regression models in view of asymmetry," Computational Statistics, Springer, vol. 33(4), pages 1897-1921, December.

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