Extended exponentiated chen distribution: mathematical properties and applications

Z Zamani, M Afshari, H Karamikabir… - Statistics, Optimization …, 2022 - iapress.org
Statistics, Optimization & Information Computing, 2022iapress.org
In this paper, we introduce a new four-parameter distribution which is called Extended
Exponentiated Chen (EE-C) distribution. Theoretical properties of this model including the
hazard function, moments, conditional moments, mean residual life, mean past lifetime,
coefficients of skewness and kurtosis, order statistics and asymptotic properties are derived
and studied. The maximum likelihood estimation technique is used to estimate the
parameters of this model. The estimation of the model parameters by Least squares …
Abstract
In this paper, we introduce a new four-parameter distribution which is called Extended Exponentiated Chen (EE-C) distribution. Theoretical properties of this model including the hazard function, moments, conditional moments, mean residual life, mean past lifetime, coefficients of skewness and kurtosis, order statistics and asymptotic properties are derived and studied. The maximum likelihood estimation technique is used to estimate the parameters of this model. The estimation of the model parameters by Least squares, Weighted Least Squares, Crammer-von-Mises, Anderson-Darling and right-tailed Anderson-Darling methods are also briefly introduced and numerically investigated. Moreover, simulation schemes are derived. At the end, three applications of the model with two real data sets are presented for the illustration of the flexibility of the proposed distribution.
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