A multivariate empirical characteristic function test of independence with normal marginals
Authors:
- M. BilodeauMBM. Bilodeau
- P. Lafaye de MicheauxPMP. Lafaye de Micheaux
- 1 August 2005
- journal article
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 95 (2) , 345-369
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Monomial cubature rules since “Stroud”: a compilation — part 2Journal of Computational and Applied Mathematics, 1999
- Monomial cubature rules since “Stroud”: a compilationJournal of Computational and Applied Mathematics, 1993
- A consistent test for multivariate normality based on the empirical characteristic functionMetrika, 1988
- Confidence Sets for a Multivariate DistributionThe Annals of Statistics, 1986
- Testing for independence by the empirical characteristic functionJournal of Multivariate Analysis, 1985
- Multivariate empirical characteristic functionsProbability Theory and Related Fields, 1981
- Limit Behaviour of the Empirical Characteristic FunctionThe Annals of Probability, 1981
- Algorithm AS 155: The Distribution of a Linear Combination of χ 2 Random VariablesJournal of the Royal Statistical Society Series C: Applied Statistics, 1980
- Numerical inversion of a characteristic functionBiometrika, 1973
- Distribution Free Tests of Independence Based on the Sample Distribution FunctionThe Annals of Mathematical Statistics, 1961