This paper gives results for the population value of a measure of the goodness-of-fit of a general multivariate normal distribution to the simpler hypothesis of independent normal variables. The measure was introduced by Rudas, Clogg and Lindsay in 1994, who gave the value for the bivariate normal distribution. Connections with factor analysis are briefly discussed
A test of the independence of two sets of variables is developed to have high power against a specia...
AbstractLet Xj (j = 1,…,n) be i.i.d. random variables, and let Y′ = (Y1,…,Ym) and X′ = (X1,…,Xn) be ...
Rao's score statistic is a standard tool for carrying out hypothesis tests. A unified approach ...
This paper gives results for the population value of a measure of the goodness-of-fit of a general m...
This paper gives results for the population value of a measure of the goodness-of-fit of a general m...
International audienceThis paper proposes a semi-parametric test of independence (or serial independ...
AbstractA new nonparametric approach to the problem of testing the joint independence of two or more...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
For some cases it may be permissible to assume that the correlation between each two normal random v...
A simple statistic is proposed for testing the independence of two subvectors of a random vector hav...
In many statistical studies the relationship between two random variables X and Y is investigated an...
A simple statistic is proposed for testing the independence of two subvectors of a random vector hav...
A simple statistic is proposed for testing the independence of two subvectors of a random vector hav...
The authors consider various procedures for testing the hypotheses of independence of two sets of va...
A test of the independence of two sets of variables is developed to have high power against a specia...
AbstractLet Xj (j = 1,…,n) be i.i.d. random variables, and let Y′ = (Y1,…,Ym) and X′ = (X1,…,Xn) be ...
Rao's score statistic is a standard tool for carrying out hypothesis tests. A unified approach ...
This paper gives results for the population value of a measure of the goodness-of-fit of a general m...
This paper gives results for the population value of a measure of the goodness-of-fit of a general m...
International audienceThis paper proposes a semi-parametric test of independence (or serial independ...
AbstractA new nonparametric approach to the problem of testing the joint independence of two or more...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
For some cases it may be permissible to assume that the correlation between each two normal random v...
A simple statistic is proposed for testing the independence of two subvectors of a random vector hav...
In many statistical studies the relationship between two random variables X and Y is investigated an...
A simple statistic is proposed for testing the independence of two subvectors of a random vector hav...
A simple statistic is proposed for testing the independence of two subvectors of a random vector hav...
The authors consider various procedures for testing the hypotheses of independence of two sets of va...
A test of the independence of two sets of variables is developed to have high power against a specia...
AbstractLet Xj (j = 1,…,n) be i.i.d. random variables, and let Y′ = (Y1,…,Ym) and X′ = (X1,…,Xn) be ...
Rao's score statistic is a standard tool for carrying out hypothesis tests. A unified approach ...