AbstractThis paper considers three types of problems: (i) the problem of independence of two sets, (ii) the problem of sphericity of the covariance matrix Σ, and (iii) the problem of intraclass model for the covariance matrix Σ, when the column vectors of X are independently distributed as multivariate normal with covariance matrix Σ and E(X) = BξA,A and B being given matrices and ξ and Σ being unknown. These problems are solved by the likelihood ratio test procedures under some restrictions on the models, and the null distributions of the test statistics are established
In this article, we address the problem of simultaneous testing hypothesis about mean and covariance...
In this article, we address the problem of simultaneous testing hypothesis about mean and covariance...
The focus in this thesis is on the calculations of an empirical null distributionfor likelihood rati...
AbstractThis paper considers three types of problems: (i) the problem of independence of two sets, (...
In this paper we consider the problem of testing (a) sphericity and (b) intraclass covariance struct...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
AbstractWe consider two hypothesis testing problems with N independent observations on a single m-ve...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
Many testing, estimation and confidence interval procedures discussed in the multivariate statistica...
The growth curve model introduced by Potthoff & Roy (1964) is a generalization of the multivaria...
In this paper, tests are developed for testing certain hypotheses on the covari-ance matrix Σ, when ...
We consider the general family of multivariate normal distributions where the mean vector lies in an...
The asymptotic distributions under local alternatives of two test criteria for testing the hypothesi...
In this article, we address the problem of simultaneous testing hypothesis about mean and covariance...
In this article, we address the problem of simultaneous testing hypothesis about mean and covariance...
The focus in this thesis is on the calculations of an empirical null distributionfor likelihood rati...
AbstractThis paper considers three types of problems: (i) the problem of independence of two sets, (...
In this paper we consider the problem of testing (a) sphericity and (b) intraclass covariance struct...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance str...
AbstractWe consider two hypothesis testing problems with N independent observations on a single m-ve...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
Many testing, estimation and confidence interval procedures discussed in the multivariate statistica...
The growth curve model introduced by Potthoff & Roy (1964) is a generalization of the multivaria...
In this paper, tests are developed for testing certain hypotheses on the covari-ance matrix Σ, when ...
We consider the general family of multivariate normal distributions where the mean vector lies in an...
The asymptotic distributions under local alternatives of two test criteria for testing the hypothesi...
In this article, we address the problem of simultaneous testing hypothesis about mean and covariance...
In this article, we address the problem of simultaneous testing hypothesis about mean and covariance...
The focus in this thesis is on the calculations of an empirical null distributionfor likelihood rati...