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Bivariate normal-geometric distribution with FGM copula: Properties and parameter estimation

Authors: Sung-Hyon Ri; Hyon-A Kim; Kwang-Hyok Kim;

Bivariate normal-geometric distribution with FGM copula: Properties and parameter estimation

Abstract

It is of practical importance to construct new effective statistical model for discrete and continuous data arising in the real world. The bivariate distribution with FGM copula whose two marginal distributions are normal and geometric, respectively, is proposed. The explicit characteristics and the moment generating function of the distribution are derived. Also, the conditional distributions and their characteristics of the distribution are obtained. The moment and maximum likelihood (ML) estimates for the parameters are investigated and the numerical results for them are presented. Real data analysis that indicates the usefulness of the model is also shown.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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