Parameter estimation methods for the Marshall-Olkin Power Lomax distribution and its applications
نویسندگان
چکیده
منابع مشابه
Further results involving Marshall–Olkin log-logistic distribution: reliability analysis, estimation of the parameter, and applications
The purpose of this paper is to provide further study of the Marshall-Olkin log-logistic model that was first described by Gui (Appl Math Sci 7:3947-3961, 2013). This model is both useful and practical in areas such as reliability and life testing. Some statistical and reliability properties of this model are presented including moments, reversed hazard rate and mean residual life functions, am...
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In this paper, we consider the Bayesian analysis of the Marshall-Olkin bivariate Weibull distribution. It is a singular distribution whose marginals are Weibull distributions. This is a generalization of the Marshall-Olkin bivariate exponential distribution. It is well known that the maximum likelihood estimators of the unknown parameters do not always exist. The Bayes estimators are obtained w...
متن کاملThe Marshall-Olkin IKum Distribution
Finding alternative to most well known classical family of distributions has become a topic of high importance in academic research due to their striking properties. An increasing interest can be observed for the art of adding parameter to some existing distributions as one parameter family of distributions is not sufficient to handle various real contexts. There is a vast amount of literature ...
متن کاملThe Marshall-Olkin IKum Distribution
Finding alternative to most well known classical family of distributions has become a topic of high importance in academic research due to their striking properties. An increasing interest can be observed for the art of adding parameter to some existing distributions as one parameter family of distributions is not sufficient to handle various real contexts. There is a vast amount of literature ...
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ژورنال
عنوان ژورنال: The Journal of Applied Science
سال: 2021
ISSN: 1513-7805
DOI: 10.14416/j.appsci.2021.01.002