# name
Multivariate distributions with given multivariate marginals and given dependence structure

# metadata.dc.description[].value
Preprint enviat per a la seva publicació en una revista científica: Journal of Multivariate Analysis. Volume 42, Issue 1, July 1992, Pages 51-66 [https://doi.org/10.1016/0047-259X(92)90078-T]

# metadata.dc.description.abstract[].value
This paper provides a method of constructing multivariate distributions where both univariate margináis and correlation matrix are given. An extensión to multivariate margináis and given intercorrelation matrix is also obtained. This method yields a family of distributions which are totally linear regression and may be useful to generate exact samples for testing multivariate models, as well as for testing structural models where covariance structure is given, but the distribution need not be multivariate normal.

# metadata.dc.relation.isformatof[].value
Reproducció digital del document original en paper [CRAI Biblioteca de Matemàtiques i Informàtica - Dipòsit Departament CAIXA 32.20]

# metadata.dc.source[].value
Preprints de Matemàtiques - Mathematics Preprint Series

# metadata.dc.subject.other[].value
Universitat de Barcelona. Institut de Matemàtica

# metadata.dc.title[].value
Multivariate distributions with given multivariate marginals and given dependence structure