Fourier methods for testing multivariate independence
Tài liệu tham khảo
Besbeas, 2001, Integrated squared error estimation of Cauchy parameters, Statist. Probab. Lett., 55, 397, 10.1016/S0167-7152(01)00153-5
Besbeas, 2004, Integrated squared error estimation of normal mixtures, Comput. Statist. Data Anal., 44, 517, 10.1016/S0167-9473(02)00251-7
Bilodeau, 2005, A multivariate empirical characteristic function test of independence with normal marginals, J. Multivariate Anal., 95, 345, 10.1016/j.jmva.2004.08.011
Blum, 1961, Distribution free tests for independence based on the sample distribution function, Ann. Math. Statist., 32, 485, 10.1214/aoms/1177705055
Coles, 1991, Modelling extreme multivariate events, J. Roy. Statist. Soc. B, 53, 377
Cotterill, 1982, On the limiting distribution of and critical values for the Cramér–von Mises statistics, Ann. Statist., 10, 233, 10.1214/aos/1176345706
Cotterill, 1985, On the limiting distribution of and critical values for the Hoeffding, Blum, Kiefer, Rosenblatt independence criterion, Statist. Decisions, 3, 1
Csörgő, 1985, Testing for independence by the empirical characteristic function, J. Multivariate Anal., 16, 290, 10.1016/0047-259X(85)90022-3
Epps, 2005, Tests for location-scale families based on the empirical characteristic function, Metrika, 62, 99, 10.1007/s001840400358
Fang, 1998, A multivariate version of Ghosh's T3-plot to detect non-normality, Comput. Statist. Data Anal., 28, 371, 10.1016/S0167-9473(98)90147-5
Feuerverger, 1993, A consistent test for bivariate dependence, Internat. Statist. Rev., 61, 419, 10.2307/1403753
Ghoudi, 2001, A nonparametric test for serial independence for time series and residuals, J. Multivariate Anal., 79, 191, 10.1006/jmva.2000.1967
Heathcote, 1995, Testing multivariate symmetry, J. Multivariate Anal., 54, 91, 10.1006/jmva.1995.1046
Henze, 2003, Invariant tests for symmetry about an unspecified point based on the empirical characteristic function, J. Multivariate Anal., 87, 275, 10.1016/S0047-259X(03)00044-7
Hoeffding, 1948, A nonparametric test for independence, Ann. Math. Statist., 19, 546, 10.1214/aoms/1177730150
Hong, 1998, Testing for pairwise serial independence via the empirical distribution function, J. Roy. Statist. Soc. B, 60, 429, 10.1111/1467-9868.00134
Kankainen, 1998, A consistent modification of a test for independence based on the empirical characteristic function, J. Math. Sci., 89, 1486, 10.1007/BF02362283
Klar, 2005, Tests for normal mixtures based on the empirical characteristic function, Comput. Statist. Data Anal., 49, 227, 10.1016/j.csda.2004.05.011
Ledford, 1996, Statistics for near independence in multivariate extreme values, Biometrika, 83, 169, 10.1093/biomet/83.1.169
Meintanis, 2005, Permutation tests for homogeneity based on the empirical characteristic function, J. NonParametric Statist., 17, 583, 10.1080/10485250500039494
Richardson, 1993, A test for multivariate normality in stock returns, J. Business, 66, 295, 10.1086/296605
Roch, 2006, Testing the bivariate distribution of equity returns using copulas, An application to the Spanish stock market. Comput. Statist. Data Anal., 51, 1312, 10.1016/j.csda.2005.11.007
Rödel, 2004, Linear rank tests for independence in bivariate distributions–power comparisons by simulation, Comput. Stat. Data Anal., 46, 645, 10.1016/j.csda.2003.09.005
Ushakov, 1999
Yu, 2004, Empirical characteristic function estimation and its applications, Econometric Rev., 23, 93, 10.1081/ETC-120039605