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A New Extended Fréchet Distribution: Properties and Estimation

Author(s)
Mohamed Ibrahim Department of Applied Statistics and Insurance, Faculty of Commerce, Damietta University, Damietta, Egypt.
Abstract
In this work, we introduce a new extension of the Fréchet distribution. A set of the mathematical and statistical properties have been derived. The estimation of the parameters is carried out by considering the different method of estimation. The performances of the proposed estimation methods are studied by Monte Carlo simulations. The potentiality of the proposed model has been analyzed through two data sets. The weighted least square method is the best method for modelling breaking stress data, the least square method is the best method for modelling strengths data, however all other methods performed well for both data sets. On the other hand, the new model gives the best fits among all other fitted extensions of the Fréchet models to these data. So, it could be chosen as the best model for modeling breaking stress and strengths real data.
Publication Details
Page(s) 773-796
DOI DOI not available
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 15, Issue: 3, Year: 2019

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Keywords
Fréchet distribution, maximum likelihood, Simulation., Bayesian estimation, Least Square, Weighted Least Square, Jackknife
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