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

Essam K. AL-Hussaini, Mohamed Hussein

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DOI: 10.4236/ojs.2012.21004                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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