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
AbstractIn this paper the distribution of the likelihood ratio test for testing the reality of the c...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
In this dissertation we consider the growth curve or generalized MANOVA model in its most general fo...
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...
AbstractConsider the multivariate linear model for the random matrixYn×p∼MN(XB,V⊗Σ), whereBis the pa...
AbstractThis paper is concerned with an extended growth curve model with two within-individual desig...
Many testing, estimation and confidence interval procedures discussed in the multivariate statistica...
AbstractIn the analysis of the classical multivariate linear regression model, it is assumed that th...
The aim of this chapter is to review likelihood ratio test procedures in multivariate linear models,...
AbstractFor a multivariate elliptically contoured random matrix Y with mean μ ∈ S1 □ S2 and covarian...
AbstractFor the linear growth curve model introduced by Potthoff and Roy (Biometrika 51 (1964), 313–...
AbstractIn reduced-rank regression, a matrix of expectations is modeled as a lower rank matrix. In f...
AbstractWe consider two hypothesis testing problems with N independent observations on a single m-ve...
AbstractIn this paper the distribution of the likelihood ratio test for testing the reality of the c...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
In this dissertation we consider the growth curve or generalized MANOVA model in its most general fo...
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...
AbstractConsider the multivariate linear model for the random matrixYn×p∼MN(XB,V⊗Σ), whereBis the pa...
AbstractThis paper is concerned with an extended growth curve model with two within-individual desig...
Many testing, estimation and confidence interval procedures discussed in the multivariate statistica...
AbstractIn the analysis of the classical multivariate linear regression model, it is assumed that th...
The aim of this chapter is to review likelihood ratio test procedures in multivariate linear models,...
AbstractFor a multivariate elliptically contoured random matrix Y with mean μ ∈ S1 □ S2 and covarian...
AbstractFor the linear growth curve model introduced by Potthoff and Roy (Biometrika 51 (1964), 313–...
AbstractIn reduced-rank regression, a matrix of expectations is modeled as a lower rank matrix. In f...
AbstractWe consider two hypothesis testing problems with N independent observations on a single m-ve...
AbstractIn this paper the distribution of the likelihood ratio test for testing the reality of the c...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
In this dissertation we consider the growth curve or generalized MANOVA model in its most general fo...