Goodness-of-Fit Tests for a Multivariate Distribution by the Empirical Characteristic Function
- 1 July 1997
- journal article
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 62 (1) , 36-63
- https://doi.org/10.1006/jmva.1997.1672
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Test of Significance Based on Wavelet Thresholding and Neyman's TruncationJournal of the American Statistical Association, 1996
- A Consistent Test for Bivariate DependenceInternational Statistical Review, 1993
- Asymptotic Comparison of Cramer-von Mises and Nonparametric Function Estimation Techniques for Testing Goodness-of-FitThe Annals of Statistics, 1992
- A consistent test for multivariate normality based on the empirical characteristic functionMetrika, 1988
- Estimating the direction in which a data set is most interestingProbability Theory and Related Fields, 1988
- Central limit theorem for integrated square error of multivariate nonparametric density estimatorsJournal of Multivariate Analysis, 1984
- A test for normality based on the empirical characteristic functionBiometrika, 1983
- On Some Fourier Methods for InferenceJournal of the American Statistical Association, 1981
- The Empirical Characteristic Function and Its ApplicationsThe Annals of Statistics, 1977
- A TEST OF GOODNESS OF FIT FOR SYMMETRIC RANDOM VARIABLES1Australian Journal of Statistics, 1972