AbstractDeheuvels proposed a rank test of independence based on a Cramér–von Mises functional of the empirical copula process. Using a general result on the asymptotic distribution of this process under sequences of contiguous alternatives, the local power curve of Deheuvels’ test is computed in the bivariate case and compared to that of competing procedures based on linear rank statistics. The Gil-Pelaez inversion formula is used to make additional comparisons in terms of a natural extension of Pitman's measure of asymptotic relative efficiency
Tests of multivariate independence may rely on asymptotically independent Cramér-von Mises statistic...
AbstractThe asymptotic power of the Cramér-von Mises test (CvM test) when parameters are estimated f...
International audienceThis paper proposes a semi-parametric test of independence (or serial independ...
AbstractDeheuvels proposed a rank test of independence based on a Cramér–von Mises functional of the...
AbstractA decomposition of the independence empirical copula process into a finite number of asympto...
Copula, Cramér-von Mises statistic, empirical process, Möbius inversion formula, pseudo-observations...
AbstractIn previous papers [Approximate and local Bahadur efficiency of linear rank tests in the two...
AbstractThe limiting (as the significance level approaches 0) Pitman efficiency of a new “regression...
We develop a test of equality between two dependence structures estimated through empirical copulas....
The asymptotic behaviour of several goodness-of-fit statistics for copula families is obtained under...
We develop a test of equality between two dependence structures estimated through empirical copulas....
A multivariate linear rank test of independence based on a multiparametric copula with cubic section
The asymptotic behavior of several goodness-of-fit statistics for copula families is obtained under ...
New statistics are proposed for testing the hypothesis that two non-continuous random variables are ...
Blest (2000, Aust. N. Z. J. Stat. 42, 101-111) proposed a new measure of rank correlation that is se...
Tests of multivariate independence may rely on asymptotically independent Cramér-von Mises statistic...
AbstractThe asymptotic power of the Cramér-von Mises test (CvM test) when parameters are estimated f...
International audienceThis paper proposes a semi-parametric test of independence (or serial independ...
AbstractDeheuvels proposed a rank test of independence based on a Cramér–von Mises functional of the...
AbstractA decomposition of the independence empirical copula process into a finite number of asympto...
Copula, Cramér-von Mises statistic, empirical process, Möbius inversion formula, pseudo-observations...
AbstractIn previous papers [Approximate and local Bahadur efficiency of linear rank tests in the two...
AbstractThe limiting (as the significance level approaches 0) Pitman efficiency of a new “regression...
We develop a test of equality between two dependence structures estimated through empirical copulas....
The asymptotic behaviour of several goodness-of-fit statistics for copula families is obtained under...
We develop a test of equality between two dependence structures estimated through empirical copulas....
A multivariate linear rank test of independence based on a multiparametric copula with cubic section
The asymptotic behavior of several goodness-of-fit statistics for copula families is obtained under ...
New statistics are proposed for testing the hypothesis that two non-continuous random variables are ...
Blest (2000, Aust. N. Z. J. Stat. 42, 101-111) proposed a new measure of rank correlation that is se...
Tests of multivariate independence may rely on asymptotically independent Cramér-von Mises statistic...
AbstractThe asymptotic power of the Cramér-von Mises test (CvM test) when parameters are estimated f...
International audienceThis paper proposes a semi-parametric test of independence (or serial independ...