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Gupta, A.K. and Nagar, D.K. (2004) Distribution of the Determinant of the Sample Correlation Matrix from a Mixture Normal Model. Random Operators and Stochastic Equations, 12, 193-199.

has been cited by the following article:

• TITLE: Distribution of the Sample Correlation Matrix and Applications

  AUTHORS: Thu Pham-Gia, Vartan Choulakian

  KEYWORDS: Correlation, Normal, Determinant, Meijer G-Function, No-Correlation, Dependence, Component, Formatting, Style, Styling, Insert

  JOURNAL NAME: Open Journal of Statistics, Vol.4 No.5, August 7, 2014

  ABSTRACT: For the case where the multivariate normal population does not have null correlations, we give the exact expression of the distribution of the sample matrix of correlations R, with the sample variances acting as parameters. Also, the distribution of its determinant is established in terms of Meijer G-functions in the null-correlation case. Several numerical examples are given, and applications to the concept of system de- pendence in Reliability Theory are presented.