On Characterizing Generalized Cambanis Family of Bivariate Distributions

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On Characterizing Generalized Cambanis Family of Bivariate Distributions

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Abstract

In this work we present characterizations of a generalized version of Cambanis family of bivariate distributions. This family contains extensions of the Farlie-Gumbel-Morgenstern system as special cases. The characterizations are by properties of P(X>Y), regression functions and E(XjX > Y) which were found to be useful in many applications.

References

7 Cites in Article
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  5. 5. Stamatis Cambanis (1977). Some properties and generalizations of multivariate Eyraud-Gumbel-Morgenstern distributions. Journal of Multivariate Analysis, 7(4), 551-559.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Johny Scaria, N. Unnikrishnan Nair, sithara.mohan3. 2017. "On Characterizing Generalized Cambanis Family of Bivariate Distributions". Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 17 (GJSFR Volume 17 Issue F1).

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords
Classification
GJSFR-F Classification MSC 2010: 62H10
Version of record

v1.2

Issue date
February 26, 2017

Language
English
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On Characterizing Generalized Cambanis Family of Bivariate Distributions

Johny Scaria
Johny Scaria Nirmala College Muvattupuzha
N. Nair
N. Nair <p>Nirmala College Muvattupuzha</p>
<p>Nirmala College Muvattupuzha</p>