The Marshall-Olkin-Kumaraswamy-G family of distributions
نویسندگان
چکیده
منابع مشابه
Characterizations of Certain Marshall-Olkin Generalized Distributions
Several characterizations of Marshall-Olkin generalized distributions, introduced by Gui (2013) and by Al-Saiari et al. (2014) are presented. These characterizations are based on: (i) a simple relationship between two truncated moments ; (ii) the hazard function.
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Finding new families of distributions has become a popular tool in statistical research. In this article, we introduce a new flexible four-parameter discrete model based on the Marshall-Olkin approach, namely, the discrete Kumaraswamy Marshall-Olkin exponential distribution. The proposed distribution can be viewed as another generalization of the geometric distribution and enfolds some importan...
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The Kumaraswamy distribution is a two-parameter distribution on the interval (0,1) that is very similar to beta distribution. This distribution is applicable to many natural phenomena whose outcomes have lower and upper bounds, such as the proportion of people from society who consume certain products in a given interval. In this paper, we introduce the family of Kumaraswamy-G distribution, an...
متن کاملcharacterizations of certain marshall-olkin generalized distributions
several characterizations of marshall-olkin generalized distributions, introduced by gui (2013) and by al-saiari et al. (2014) are presented. these characterizations are based on: (i) a simple relationship between two truncated moments ; (ii) the hazard function.
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A class of generalized bivariate Marshall–Olkin distributions, which includes as special cases the Marshall-Olkin bivariate exponential distribution and the Marshall-Olkin type distribution due to Muliere and Scarsini (1987), are examined in this paper. Stochastic comparison results are derived, and bivariate aging properties, together with properties related to evolution of dependence along ti...
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ژورنال
عنوان ژورنال: Journal of Statistical Theory and Applications
سال: 2017
ISSN: 1538-7887
DOI: 10.2991/jsta.2017.16.4.2