Exponentiated $T$-$X$ Family of Distributions with Some Applications
Ahmad Alzaghal, Felix Famoye, Carl Lee
Abstract
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Ahmad Alzaghal, Felix Famoye, Carl Lee
Abstract
Open-access reader
In this paper, a new family of distributions called exponentiated $T$-$X$ distribution is defined. Some of its properties and special cases are discussed. A member of the family, namely, the three-parameter exponentiated Weibull-exponential distribution is defined and studied. Some of its properties including distribution shapes, limit behavior, hazard function, Shannon entropy, moments, skewness and kurtosis are discussed. The flexibility of the exponentiated Weibull-exponential distribution is assessed by applying it to three real data sets and comparing it with other distributions. The exponentiated Weibull-exponential distribution is found to adequately fit left-skewed and right-skewed data sets.
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In this paper, a new family of distributions called exponentiated $T$-$X$ distribution is defined. Some of its properties and special cases are discussed. A member of the family, namely, the three-parameter exponentiated Weibull-exponential distribution is defined and studied. Some of its properties including distribution shapes, limit behavior, hazard function, Shannon entropy, moments, skewness and kurtosis are discussed. The flexibility of the exponentiated Weibull-exponential distribution is assessed by applying it to three real data sets and comparing it with other distributions. The exponentiated Weibull-exponential distribution is found to adequately fit left-skewed and right-skewed data sets.
Key concepts: Kurtosis, Weibull distribution, Exponentiated Weibull distribution, Mathematics, Natural exponential family, Exponential function, Skewness, Exponential distribution