Add to ORKGA new distribution called the log generalized Lindley-Weibull (LGLW) distribution for modeling lifetime data is proposed. This model further generalizes the Lindley distribution and allows for hazard rate functions that are monotonically decreasing, monotonically increasing and bathtub shaped. A comprehensive investigation and account of the mathematical and statistical properties including moments, moment generating function, simulation issues and entropy are presented. Estimates of model parameters via the method of maximum likelihood are given. Real data examples are presented to illustrate the usefulness and applicability of this new distribution
In this paper, we propose a new class of generalized distributions called the Exponentiated Kumarasw...
In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) di...
Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, ...
A new distribution called the log generalized Lindley-Weibull (LGLW) distribution for modeling lifet...
A new distribution called the log generalized Lindley-Weibull (LGLW) distribution for modeling lifet...
In this paper, a new generalized distribution called the log-logistic Weibull (LLoGW) distribution i...
In this paper, a new generalized distribution called the log-logistic Weibull (LLoGW) distribution i...
A new class of distribution called the generalized Lindley-Weibull distribution for modeling lifetim...
A new distribution called the gamma exponentiated Lindley Log-logistic (GELLLoG) distribution is dev...
In this paper, we present a new class of distributions called New Generalized Lindley Distribution(N...
In this paper, we introduced a new class of lifetime distribution and considered the mathematical pr...
In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) di...
We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, which acc...
Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, ...
In this paper, we propose a new class of generalized distributions called the Exponentiated Kumarasw...
In this paper, we propose a new class of generalized distributions called the Exponentiated Kumarasw...
In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) di...
Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, ...
A new distribution called the log generalized Lindley-Weibull (LGLW) distribution for modeling lifet...
A new distribution called the log generalized Lindley-Weibull (LGLW) distribution for modeling lifet...
In this paper, a new generalized distribution called the log-logistic Weibull (LLoGW) distribution i...
In this paper, a new generalized distribution called the log-logistic Weibull (LLoGW) distribution i...
A new class of distribution called the generalized Lindley-Weibull distribution for modeling lifetim...
A new distribution called the gamma exponentiated Lindley Log-logistic (GELLLoG) distribution is dev...
In this paper, we present a new class of distributions called New Generalized Lindley Distribution(N...
In this paper, we introduced a new class of lifetime distribution and considered the mathematical pr...
In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) di...
We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, which acc...
Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, ...
In this paper, we propose a new class of generalized distributions called the Exponentiated Kumarasw...
In this paper, we propose a new class of generalized distributions called the Exponentiated Kumarasw...
In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) di...
Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, ...