A new four parameter lifetime model called the Weibullgeneralized Lomax is proposed and studied. The new density function can be "right skewed", "symmetric" and "left skewed" and its corresponding failure rate function can be "monotonically decreasing", " monotonically increasing" and "constant". The skewness of the new distribution can negative and positive. The maximum likelihood method is employed and used for estimating the model parameters. Using the "biases" and "mean squared errors", we performed simulation experiments for assessing the finite sample behavior of the maximum likelihood estimators. The new model deserved to be chosen as the best model among many well-known Lomax extension such as exponentiated Lomax, gamma Lomax,...
We propose a new four-parameter lifetime distribution obtained by compounding twouseful distribution...
In this paper, a new four parameter lifetime distribution called the Topp Leone Weibull-Lomax distri...
We introduce a new four-parameter distribution with constant, decreasing, increasing, bathtub and up...
A new four-parameter lifetime model is introduced and studied. The new model derives its flexibility...
In this work, a new four-parameter lifetime probability distribution called the Marshall-Olkin Lehma...
A new continuous version of the inverse flexible Weibull model is proposed and studied. Some of its ...
In this article, we introduce a new lifetime model which exhibits the increasing, the decreasing and...
In this article, we introduce a new generalization of the Exponentiated Exponential distribution. Va...
A new lifetime model is introduced and studied. The major justi…cation for the practicality of the...
A four-parameter lifetime model, named the Weibull inverse Lomax (WIL) is presented and studied. Som...
A new class of lifetime distributions, which can exhibit with upside-down bathtub-shaped, bathtub-sh...
We introduce a new lifetime distribution, called the alpha-power transformed Lomax (APTL) distributi...
A new two parameter life time model, which accommodates increasing, decreasing, bathtub, and a broad...
In this article, we introduce a new three-parameter lifetime model called the Burr X exponentiated W...
In this work, a new lifetime model is introduced and studied. The major justification for the practi...
We propose a new four-parameter lifetime distribution obtained by compounding twouseful distribution...
In this paper, a new four parameter lifetime distribution called the Topp Leone Weibull-Lomax distri...
We introduce a new four-parameter distribution with constant, decreasing, increasing, bathtub and up...
A new four-parameter lifetime model is introduced and studied. The new model derives its flexibility...
In this work, a new four-parameter lifetime probability distribution called the Marshall-Olkin Lehma...
A new continuous version of the inverse flexible Weibull model is proposed and studied. Some of its ...
In this article, we introduce a new lifetime model which exhibits the increasing, the decreasing and...
In this article, we introduce a new generalization of the Exponentiated Exponential distribution. Va...
A new lifetime model is introduced and studied. The major justi…cation for the practicality of the...
A four-parameter lifetime model, named the Weibull inverse Lomax (WIL) is presented and studied. Som...
A new class of lifetime distributions, which can exhibit with upside-down bathtub-shaped, bathtub-sh...
We introduce a new lifetime distribution, called the alpha-power transformed Lomax (APTL) distributi...
A new two parameter life time model, which accommodates increasing, decreasing, bathtub, and a broad...
In this article, we introduce a new three-parameter lifetime model called the Burr X exponentiated W...
In this work, a new lifetime model is introduced and studied. The major justification for the practi...
We propose a new four-parameter lifetime distribution obtained by compounding twouseful distribution...
In this paper, a new four parameter lifetime distribution called the Topp Leone Weibull-Lomax distri...
We introduce a new four-parameter distribution with constant, decreasing, increasing, bathtub and up...