AbstractFor testing the hypothesis of equality of two covariances (Σ1 and Σ2) of two p-dimensional multivariate normal populations, it is shown that the power function of the modified likelihood ratio test increases as λ1 increases from one and λr decreases from one where λ1 > … > λr > 0 are the distinct characteristic roots of Σ1Σ2−1, r ≤ p. As a by-product we get the unbiased result already established by Sugiura and Nagao (1968)
AbstractThe asymptotic distributions under local alternatives of two test criteria for testing the h...
The likelihood ratio test for m-sample homogeneity of covariance is notoriously sensitive to violati...
AbstractThis paper investigates the asymptotic properties of the likelihood ratio statistic for test...
AbstractFor testing the hypothesis of equality of two covariances (Σ1 and Σ2) of two p-dimensional m...
AbstractThe modified likelihood ratio criterion for testing the homogeneity of variances of p univar...
AbstractThe classical problem of testing the equality of the covariance matrices from k⩾2 p-dimensio...
The modified likelihood ratio criterion for testing the homogeneity of variances of p univariate nor...
It is shown, that the union of k elementary null hypotheses can be rejected at level #alpha#, whenev...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
AbstractWe develop methods to compare multiple multivariate normally distributed samples which may b...
AbstractLet W be a p × p matrix distributed according to the Wishart distribution Wp(n, Φ) with Φ po...
We develop methods to compare multiple multivariate normally distributed samples which may be correl...
The asymptotic distributions under local alternatives of two test criteria for testing the hypothesi...
The asymptotic distributions under local alternatives of two test criteria for testing the hypothesi...
Let X have a multivariate, p-dimensional normal distribution (p greater than or equal to 2) with unk...
AbstractThe asymptotic distributions under local alternatives of two test criteria for testing the h...
The likelihood ratio test for m-sample homogeneity of covariance is notoriously sensitive to violati...
AbstractThis paper investigates the asymptotic properties of the likelihood ratio statistic for test...
AbstractFor testing the hypothesis of equality of two covariances (Σ1 and Σ2) of two p-dimensional m...
AbstractThe modified likelihood ratio criterion for testing the homogeneity of variances of p univar...
AbstractThe classical problem of testing the equality of the covariance matrices from k⩾2 p-dimensio...
The modified likelihood ratio criterion for testing the homogeneity of variances of p univariate nor...
It is shown, that the union of k elementary null hypotheses can be rejected at level #alpha#, whenev...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
AbstractWe develop methods to compare multiple multivariate normally distributed samples which may b...
AbstractLet W be a p × p matrix distributed according to the Wishart distribution Wp(n, Φ) with Φ po...
We develop methods to compare multiple multivariate normally distributed samples which may be correl...
The asymptotic distributions under local alternatives of two test criteria for testing the hypothesi...
The asymptotic distributions under local alternatives of two test criteria for testing the hypothesi...
Let X have a multivariate, p-dimensional normal distribution (p greater than or equal to 2) with unk...
AbstractThe asymptotic distributions under local alternatives of two test criteria for testing the h...
The likelihood ratio test for m-sample homogeneity of covariance is notoriously sensitive to violati...
AbstractThis paper investigates the asymptotic properties of the likelihood ratio statistic for test...