Null distribution of multiple correlation coefficient under mixture normal model
Hydar Ali and
Daya K. Nagar
International Journal of Mathematics and Mathematical Sciences, 2002, vol. 30, 1-7
Abstract:
The multiple correlation coefficient is used in a large variety of statistical tests and regression problems. In this article, we derive the null distribution of the square of the sample multiple correlation coefficient, R 2 , when a sample is drawn from a mixture of two multivariate Gaussian populations. The moments of 1 − R 2 and inverse Mellin transform have been used to derive the density of R 2 .
Date: 2002
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/IJMMS/30/276817.pdf (application/pdf)
http://downloads.hindawi.com/journals/IJMMS/30/276817.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jijmms:276817
DOI: 10.1155/S0161171202012838
Access Statistics for this article
More articles in International Journal of Mathematics and Mathematical Sciences from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().