Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution
Yuzhu Tian, Maozai Tian, Qianqian Zhu
Abstract
Yuzhu Tian, Maozai Tian, Qianqian Zhu
Abstract
In this article, a transmuted linear exponential distribution is developed that generalizes the linear exponential distribution with an additional parameter using the quadratic rank transmutation map which was studied by Shaw et al. Some statistical properties of the proposed distribution such as moments, quantiles, and the failure rate function are investigated. The maximum likelihood estimators of unknown parameters are also discussed and a real data analysis is carried out to illustrate the superiority of the proposed distribution.
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In this article, a transmuted linear exponential distribution is developed that generalizes the linear exponential distribution with an additional parameter using the quadratic rank transmutation map which was studied by Shaw et al. Some statistical properties of the proposed distribution such as moments, quantiles, and the failure rate function are investigated. The maximum likelihood estimators of unknown parameters are also discussed and a real data analysis is carried out to illustrate the superiority of the proposed distribution.
Key concepts: Natural exponential family, Mathematics, Laplace distribution, Exponential distribution, Exponential function, Distribution fitting, Quantile, Exponentially modified Gaussian distribution