In this paper the optimal design problem for the estimation of the individual coefficients in a polynomial regression … be estimated. In the same paper the optimal design was identified explicitly in three cases. It is the basic purpose of … on an arbitrary interval [a, b] (- inf. < a < b < inf) is considered. Recently, Sahm (2000) demonstrated that the optimal …

In this note we consider the D-optimal design problem for the heteroscedastic polynomial regression model. Karlin and … demonstrated that there exist no other efficiency functions such that the supporting polynomial of the D-optimal design satisfies a …

In this paper the optimal design problem for the estimation of the individual coefficients in a polynomial regression … be estimated. In the same paper the optimal design was identified explicitly in three cases. It is the basic purpose of … on an arbitrary interval [a, b] (- inf. < a < b < inf) is considered. Recently, Sahm (2000) demonstrated that the optimal …

In this note we consider the D-optimal design problem for the heteroscedastic polynomial regression model. Karlin and … demonstrated that there exist no other efficiency functions such that the supporting polynomial of the D-optimal design satisfies a …

In the common trigonometric regression model we investigate the optimal design problem for the estimation of the … structure of the optimal design depends sensitively on the size of the design space. For many cases optimal designs can be found …

In this paper the optimal design problem for the estimation of the individual coefficients in a polynomial regression … be estimated. In the same paper the optimal design was identified explicitly in three cases. It is the basic purpose of … on an arbitrary interval [a, b] (- inf. < a < b < inf) is considered. Recently, Sahm (2000) demonstrated that the optimal …

In the common trigonometric regression model we investigate the optimal design problem for the estimation of the … structure of the optimal design depends sensitively on the size of the design space. For many cases optimal designs can be found …

In this note we consider the D-optimal design problem for the heteroscedastic polynomial regression model. Karlin and … demonstrated that there exist no other efficiency functions such that the supporting polynomial of the D-optimal design satisfies a …

optimal design framework that incorporates costs of units in all three levels for three-level cluster-randomized balanced …