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Efficient estimation for the generalized exponential distribution

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Abstract

In this paper, we consider estimation of the probability density function and the cumulative distribution function of the generalized exponential distribution. The following estimators are considered: uniformly minimum variance unbiased estimator, maximum likelihood estimator, percentile estimator, least squares estimator, weighted least squares estimator and moments estimator. Analytical expressions are derived for the bias and the mean squared error. Simulation studies and real data applications show that the maximum likelihood estimator performs better than others.

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Acknowledgments

The authors would like to thank the Editor and the referee for careful reading and for comments which greatly improved the paper.

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Correspondence to S. Rezaei.

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Alizadeh, M., Rezaei, S., Bagheri, S.F. et al. Efficient estimation for the generalized exponential distribution. Stat Papers 56, 1015–1031 (2015). https://doi.org/10.1007/s00362-014-0621-7

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  • DOI: https://doi.org/10.1007/s00362-014-0621-7

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