For a multinormal distribution with an unknown dispersion matrix, union-intersection (UI) tests for the mean against one-sided alternatives are considered. The null distribution of the UI test statistic is derived and its power monotonicity properties are studied. A Stain-type two-stage procedure is proposed to eliminate some of the inherent drawbacks of such tests. Some comparisons are also made with some recently proposed alternative conditional likelihood ratio tests
Suppose X1,X2,...,Xn is a random sample from Np([theta],V). Because the likelihood ratio test (LRT) ...
AbstractSuppose that Y is distributed as multivariate normal with unknown covariance matrix and that...
Tests for the supremacy of a multinomial cell probability are developed. The tested null hypothesis ...
For a multinormal distribution with an unknown dispersion matrix, union-intersection (UI) tests for ...
AbstractFor a multinormal distribution with an unknown dispersion matrix, union-intersection (UI) te...
It is shown, that the union of k elementary null hypotheses can be rejected at level #alpha#, whenev...
Let X have a multivariate, p-dimensional normal distribution (p greater than or equal to 2) with unk...
Suppose 1 2 , ,..., n X X X is a random sample from Np ( ,V ) distribution. Consider 0 1 2 : ... 0 p...
AbstractThe classical problem of testing the equality of the covariance matrices from k⩾2 p-dimensio...
AbstractWe develop methods to compare multiple multivariate normally distributed samples which may b...
A modified likelihood ratio test (LRT) is derived for multivariate one-sided hypotheses by using the...
AbstractIn an exponential family of distributions, the problem of testing for homogeneity of a set o...
AbstractFor testing the hypothesis of equality of two covariances (Σ1 and Σ2) of two p-dimensional m...
We develop methods to compare multiple multivariate normally distributed samples which may be correl...
AbstractLet W be a p × p matrix distributed according to the Wishart distribution Wp(n, Φ) with Φ po...
Suppose X1,X2,...,Xn is a random sample from Np([theta],V). Because the likelihood ratio test (LRT) ...
AbstractSuppose that Y is distributed as multivariate normal with unknown covariance matrix and that...
Tests for the supremacy of a multinomial cell probability are developed. The tested null hypothesis ...
For a multinormal distribution with an unknown dispersion matrix, union-intersection (UI) tests for ...
AbstractFor a multinormal distribution with an unknown dispersion matrix, union-intersection (UI) te...
It is shown, that the union of k elementary null hypotheses can be rejected at level #alpha#, whenev...
Let X have a multivariate, p-dimensional normal distribution (p greater than or equal to 2) with unk...
Suppose 1 2 , ,..., n X X X is a random sample from Np ( ,V ) distribution. Consider 0 1 2 : ... 0 p...
AbstractThe classical problem of testing the equality of the covariance matrices from k⩾2 p-dimensio...
AbstractWe develop methods to compare multiple multivariate normally distributed samples which may b...
A modified likelihood ratio test (LRT) is derived for multivariate one-sided hypotheses by using the...
AbstractIn an exponential family of distributions, the problem of testing for homogeneity of a set o...
AbstractFor testing the hypothesis of equality of two covariances (Σ1 and Σ2) of two p-dimensional m...
We develop methods to compare multiple multivariate normally distributed samples which may be correl...
AbstractLet W be a p × p matrix distributed according to the Wishart distribution Wp(n, Φ) with Φ po...
Suppose X1,X2,...,Xn is a random sample from Np([theta],V). Because the likelihood ratio test (LRT) ...
AbstractSuppose that Y is distributed as multivariate normal with unknown covariance matrix and that...
Tests for the supremacy of a multinomial cell probability are developed. The tested null hypothesis ...