A new bivariate beta distribution
A new bivariate beta distribution capable of providing better fits than all its competitors is introduced. Various representations are derived for its product moments, marginal densities, marginal moments, conditional densities and conditional moments. The method of maximum likelihood is used to der...
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Published in | Statistics (Berlin, DDR) Vol. 51; no. 2; pp. 455 - 474 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
04.03.2017
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | A new bivariate beta distribution capable of providing better fits than all its competitors is introduced. Various representations are derived for its product moments, marginal densities, marginal moments, conditional densities and conditional moments. The method of maximum likelihood is used to derive the associated estimation procedure. Applications to six bivariate data sets are illustrated. |
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ISSN: | 0233-1888 1029-4910 |
DOI: | 10.1080/02331888.2016.1240681 |