summary:If is shown that in linear regression models we do not make a great mistake if we substitute some sufficiently precise approximations for the unknown covariance matrix and covariance vector in the expressions for computation of the best linear unbiased estimator and predictor
This note presents a set of conditions on the defining functions of regression parameter estimators o...
AbstractThe least squares residuals from the standard linear model have a variance matrix which is a...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
summary:If is shown that in linear regression models we do not make a great mistake if we substitute...
summary:If is shown that in linear regression models we do not make a great mistake if we substitute...
summary:There exist many different ways of determining the best linear unbiased estimation of regres...
Best linear unbiased estimators (BLUE’s) are known to be optimal in many respects under normal assum...
summary:There exist many different ways of determining the best linear unbiased estimation of regres...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
A linear statistic Fy is called linearly sufficient for the estimable parametric function of X*β und...
summary:It was recently shown that all estimators which are locally best in the relative interior of...
summary:It was recently shown that all estimators which are locally best in the relative interior of...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
AbstractThe least squares residuals from the standard linear model have a variance matrix which is a...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
summary:If is shown that in linear regression models we do not make a great mistake if we substitute...
summary:If is shown that in linear regression models we do not make a great mistake if we substitute...
summary:There exist many different ways of determining the best linear unbiased estimation of regres...
Best linear unbiased estimators (BLUE’s) are known to be optimal in many respects under normal assum...
summary:There exist many different ways of determining the best linear unbiased estimation of regres...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
A linear statistic Fy is called linearly sufficient for the estimable parametric function of X*β und...
summary:It was recently shown that all estimators which are locally best in the relative interior of...
summary:It was recently shown that all estimators which are locally best in the relative interior of...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
AbstractThe least squares residuals from the standard linear model have a variance matrix which is a...
This note presents a set of conditions on the defining functions of regression parameter estimators o...