Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation

A. S. AL-Moisheer, Refah Mohammed Alotaibi, Ghadah A. Alomani and H. Rezk

Mathematical Problems in Engineering, 2020, vol. 2020, 1-12

Abstract:

In this study, we construct a mixture of bivariate inverse Weibull distribution. We assumed that the parameters of two marginals have Bernoulli distributions. Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables x and y , the joint moment-generating function, and the correlation between x and y . The real dataset has been analyzed. We observed that the mixture bivariate inverse Weibull distribution provides a better fit than the other model.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:5234601

DOI: 10.1155/2020/5234601

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