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A. Zellner, “Bayesian and Non-Bayesian Estimation Using Balanced Loss Functions,” In: S. S. Gupta and J. O. Burger, Eds., Statistical Decision Theory and Related Topics V, Springer-Verlag, New York, pp. 377-390.

has been cited by the following article:

• TITLE: Estimation under a Finite Mixture of Exponentiated Exponential Components Model and Balanced Square Error Loss

  AUTHORS: Essam K. AL-Hussaini, Mohamed Hussein

  KEYWORDS: Finite Mixtures; Exponentiated Exponential Distribution; Maximum Likelihood Estimation; Bayes Estimation, Square Error and Balanced Square Error Loss Functions; Objective Prior

  JOURNAL NAME: Open Journal of Statistics, Vol.2 No.1, January 19, 2012

  ABSTRACT: By exponentiating each of the components of a finite mixture of two exponential components model by a positive parameter, several shapes of hazard rate functions are obtained. Maximum likelihood and Bayes methods, based on square error loss function and objective prior, are used to obtain estimators based on balanced square error loss function for the parameters, survival and hazard rate functions of a mixture of two exponentiated exponential components model. Approximate interval estimators of the parameters of the model are obtained.