This paper introduces a new extension of the Inverse Exponential distribution using the framework of Marshall-Olkin (1997) family of distributions. The new model is capable of modeling various shapes of aging and failure criteria. The statistical properties of the new model are discussed and the maximum likelihood and maximum product spacing’s methods are used to estimate the parameters involved. Explicit expressions are derived for the moments and the order statistics are examined for the new proposed model. Finally, the usefulness of the new model for modeling reliability data is illustrated using two real data sets with simulation study. Keywords: Inverse Exponential distribution, reliability analysis, maximum likelihood estimation, maxi...
We propose a new bounded distribution called the Marshall{Olkin reducedKies distribution, which is a...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...
This paper is devoted to a new flexible two-parameter lower-truncated distribution, which is based o...
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-lo...
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-lo...
This paper presents a three-parameter family of distributions which includes the common exponential...
This article introduces a two-parameter probability model which represents another generalization of...
Marshall-Olkin exponential distribution has been established and studied by Salah, et, al. [10] and ...
In this paper, a flexible lifetime distribution with increasing, increasing and decreasing and modif...
Marshall-Olkin exponential distribution has been established and studied by Salah, et, al. [10] and ...
This research article proposes a new probability distribution, referred to as the inverted length-bi...
In this paper, a new class of continuous distributions with two extra positive parameters is introdu...
In this paper, a new class of continuous distributions with two extra positive parameters is introdu...
We propose a new bounded distribution called the Marshall{Olkin reducedKies distribution, which is a...
We propose a new bounded distribution called the Marshall{Olkin reducedKies distribution, which is a...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...
This paper is devoted to a new flexible two-parameter lower-truncated distribution, which is based o...
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-lo...
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-lo...
This paper presents a three-parameter family of distributions which includes the common exponential...
This article introduces a two-parameter probability model which represents another generalization of...
Marshall-Olkin exponential distribution has been established and studied by Salah, et, al. [10] and ...
In this paper, a flexible lifetime distribution with increasing, increasing and decreasing and modif...
Marshall-Olkin exponential distribution has been established and studied by Salah, et, al. [10] and ...
This research article proposes a new probability distribution, referred to as the inverted length-bi...
In this paper, a new class of continuous distributions with two extra positive parameters is introdu...
In this paper, a new class of continuous distributions with two extra positive parameters is introdu...
We propose a new bounded distribution called the Marshall{Olkin reducedKies distribution, which is a...
We propose a new bounded distribution called the Marshall{Olkin reducedKies distribution, which is a...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...