Blest (2000, Aust. N. Z. J. Stat. 42, 101-111) proposed a new measure of rank correlation that is sensitive to discrepancies in the small ranks. This paper investigates the efficiency properties of non-parametric tests for independence based on Blest's correlation coefficient and its modifications. Pitman efficiency comparisons are made with analogous tests existing in the literature. Conditions for Pitman optimality of the Blest-type tests are established
AbstractDeheuvels proposed a rank test of independence based on a Cramér–von Mises functional of the...
In testing independence of two random variables based on rank statistics, several rank statistics su...
A necessary and suffcient condition for Pitman's asymptotic relative effciency (ARE) of the Kendall ...
A necessary and sufficient condition for Pitman’s asymptotic relative efficiency of the Kendall and ...
AbstractThe limiting (as the significance level approaches 0) Pitman efficiency of a new “regression...
The nonparametrie tests of bivariate independence, based on Spearman's rho, Kendall's tau, the Blum-...
AbstractMultivariate generalizations of Bhuchongkul's bivariate rank statistics [Ann. Math. Statist....
We propose a new class of nonparametric tests for the supposition of independence between two contin...
Rank correlations have found many innovative applications in the last decade. In particular,suitable...
Intraclass rank statistics are introduced to test for independence in a bivariate population when it...
A class of nonparametric tests based on the third quad-rant layer ranks has recently been studied by...
AbstractIn previous papers [Approximate and local Bahadur efficiency of linear rank tests in the two...
We introduce new rank tests for testing independence. The new testing procedures are sensitive not o...
Rank statistics to test the null hypothesis that $ X $ and $ Y $ are conditionally, given $ Z $, ind...
The problem of testing the hypothesis of independence against multiparametrical set of alternatives ...
AbstractDeheuvels proposed a rank test of independence based on a Cramér–von Mises functional of the...
In testing independence of two random variables based on rank statistics, several rank statistics su...
A necessary and suffcient condition for Pitman's asymptotic relative effciency (ARE) of the Kendall ...
A necessary and sufficient condition for Pitman’s asymptotic relative efficiency of the Kendall and ...
AbstractThe limiting (as the significance level approaches 0) Pitman efficiency of a new “regression...
The nonparametrie tests of bivariate independence, based on Spearman's rho, Kendall's tau, the Blum-...
AbstractMultivariate generalizations of Bhuchongkul's bivariate rank statistics [Ann. Math. Statist....
We propose a new class of nonparametric tests for the supposition of independence between two contin...
Rank correlations have found many innovative applications in the last decade. In particular,suitable...
Intraclass rank statistics are introduced to test for independence in a bivariate population when it...
A class of nonparametric tests based on the third quad-rant layer ranks has recently been studied by...
AbstractIn previous papers [Approximate and local Bahadur efficiency of linear rank tests in the two...
We introduce new rank tests for testing independence. The new testing procedures are sensitive not o...
Rank statistics to test the null hypothesis that $ X $ and $ Y $ are conditionally, given $ Z $, ind...
The problem of testing the hypothesis of independence against multiparametrical set of alternatives ...
AbstractDeheuvels proposed a rank test of independence based on a Cramér–von Mises functional of the...
In testing independence of two random variables based on rank statistics, several rank statistics su...
A necessary and suffcient condition for Pitman's asymptotic relative effciency (ARE) of the Kendall ...