Nyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the covariance structure in a multivariate linear model. The class of invariant tests obtained by Nyblom [9] does not coincide with the class of similar tests for this testing set-up. This paper extends some of the results of Nyblom [9] by deriving the locally best similar tests for the covariance structure. Moreover, it develops a saddlepoint approximation to optimal weighted average power similar tests (i.e. tests which maximize a weighted average power)
AbstractIn this paper, the authors propose a locally most powerful invariant test for the equality o...
In the context of the linear regression model in which some regression coefficients are of interest ...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
Nyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the covaria...
AbstractNyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the...
AbstractNyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the...
AbstractThe null hypothesis that the error vectors in a multivariate linear model are independent is...
AbstractThe null hypothesis that the error vectors in a multivariate linear model are independent is...
This paper considers a class of hypothesis testing problems concerning the covariance matrix of the ...
This paper considers tests of the parameter on endogenous variables in an instrumental variables reg...
This paper considers tests of the parameter on endogenous variables in an instrumental variables reg...
We consider the general family of multivariate normal distributions where the mean vector lies in an...
In the context of the linear regression model in which some regression coefficients are of interest ...
This paper considers tests of the parameter on endogenous variables in an instrumental variables reg...
This paper considers tests of the parameter on an endogenous variable in an instru-mental variables ...
AbstractIn this paper, the authors propose a locally most powerful invariant test for the equality o...
In the context of the linear regression model in which some regression coefficients are of interest ...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...
Nyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the covaria...
AbstractNyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the...
AbstractNyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the...
AbstractThe null hypothesis that the error vectors in a multivariate linear model are independent is...
AbstractThe null hypothesis that the error vectors in a multivariate linear model are independent is...
This paper considers a class of hypothesis testing problems concerning the covariance matrix of the ...
This paper considers tests of the parameter on endogenous variables in an instrumental variables reg...
This paper considers tests of the parameter on endogenous variables in an instrumental variables reg...
We consider the general family of multivariate normal distributions where the mean vector lies in an...
In the context of the linear regression model in which some regression coefficients are of interest ...
This paper considers tests of the parameter on endogenous variables in an instrumental variables reg...
This paper considers tests of the parameter on an endogenous variable in an instru-mental variables ...
AbstractIn this paper, the authors propose a locally most powerful invariant test for the equality o...
In the context of the linear regression model in which some regression coefficients are of interest ...
In this paper we proposed a new statistical test for testing the covariance matrix in one population...