Add to ORKGOne criterion for generating optimal designs is E-optimality, which minimizes the maximum eigenvalue of the inverse information matrix. The difficulty is in determining the design that yields the global optimal solution. We present a method to find exact E-optimal designs.E-optimality Experimental design Fisher information matrix
In most experimental situations the outcome is influenced by various factors and different interacti...
E-optimality, orthogonality, balancing, connectedness, block design, row and column design,
State-of-the-art formulations of optimal experiment design problems are typically based on a design ...
Optimal exact designs are problematic to find and study because there is no unified theory for deter...
AbstractThe purpose of this paper is to establish some results on optimal criteria in experimental d...
Informative experiments are highly valuable for estimating parameters in nonlinear dynamic bioproces...
Abstract Optimal designs play an important role in many applied areas such as medical and industrial...
AbstractFor the regression model whose linear functional of unknown parameters is estimable, the exi...
A simple computational algorithm is proposed for minimizing sums of largest eigenvalues of the matri...
Optimal designs play an important role in many applied areas such as medical and industrial research...
The basic problem considered in this paper may be stated as follows: find an N-point exact design me...
AbstractCombinatorial designs have long had substantial application in the statistical design of exp...
The behaviour of D-optimal exact designs, constructed using a combinatorial algorithm, is examined u...
In this paper we consider the problem of determining and constructing E-optimal block designs within...
This paper presents D-optimal experimental designs for a variety of non-linear models which depend o...
In most experimental situations the outcome is influenced by various factors and different interacti...
E-optimality, orthogonality, balancing, connectedness, block design, row and column design,
State-of-the-art formulations of optimal experiment design problems are typically based on a design ...
Optimal exact designs are problematic to find and study because there is no unified theory for deter...
AbstractThe purpose of this paper is to establish some results on optimal criteria in experimental d...
Informative experiments are highly valuable for estimating parameters in nonlinear dynamic bioproces...
Abstract Optimal designs play an important role in many applied areas such as medical and industrial...
AbstractFor the regression model whose linear functional of unknown parameters is estimable, the exi...
A simple computational algorithm is proposed for minimizing sums of largest eigenvalues of the matri...
Optimal designs play an important role in many applied areas such as medical and industrial research...
The basic problem considered in this paper may be stated as follows: find an N-point exact design me...
AbstractCombinatorial designs have long had substantial application in the statistical design of exp...
The behaviour of D-optimal exact designs, constructed using a combinatorial algorithm, is examined u...
In this paper we consider the problem of determining and constructing E-optimal block designs within...
This paper presents D-optimal experimental designs for a variety of non-linear models which depend o...
In most experimental situations the outcome is influenced by various factors and different interacti...
E-optimality, orthogonality, balancing, connectedness, block design, row and column design,
State-of-the-art formulations of optimal experiment design problems are typically based on a design ...