Add to ORKGAbstract Optimal designs play an important role in many applied areas such as medical and industrial research. Depending the model, finding the optimal design needs an optimization process based on the Fisher information matrix. Using a nice technique in R (a very popular statistical software), an almost general code can be used for many various cases of optimization processes
AbstractThe purpose of this paper is to establish some results on optimal criteria in experimental d...
The goal of this book is to gather in a single document the most relevant concepts related to modern...
Experiments on patients, processes or plants all have random error, making statistical methods essen...
Optimal designs play an important role in many applied areas such as medical and industrial research...
One criterion for generating optimal designs is E-optimality, which minimizes the maximum eigenvalue...
This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focu...
Optimal exact designs are problematic to find and study because there is no unified theory for deter...
An approach is proposed to optimal design of experiments for estimating random-effects regression mo...
Several common general purpose optimization algorithms are compared for findingA- and D-optimal desi...
Alphabetical optimal designs are found by minimising a scalar function of the inverseFisher informat...
In this paper we show that optimal design of experiments, a specific topic in statistics, constitute...
Different kinds of designs may be used in many life sciences; one may needs some optimal constraints...
Some new properties and computational tools for finding KL-optimum designs are provided in this pape...
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...
This document introduces the reader to the analysis of results of computational experiments on heuri...
AbstractThe purpose of this paper is to establish some results on optimal criteria in experimental d...
The goal of this book is to gather in a single document the most relevant concepts related to modern...
Experiments on patients, processes or plants all have random error, making statistical methods essen...
Optimal designs play an important role in many applied areas such as medical and industrial research...
One criterion for generating optimal designs is E-optimality, which minimizes the maximum eigenvalue...
This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focu...
Optimal exact designs are problematic to find and study because there is no unified theory for deter...
An approach is proposed to optimal design of experiments for estimating random-effects regression mo...
Several common general purpose optimization algorithms are compared for findingA- and D-optimal desi...
Alphabetical optimal designs are found by minimising a scalar function of the inverseFisher informat...
In this paper we show that optimal design of experiments, a specific topic in statistics, constitute...
Different kinds of designs may be used in many life sciences; one may needs some optimal constraints...
Some new properties and computational tools for finding KL-optimum designs are provided in this pape...
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...
This document introduces the reader to the analysis of results of computational experiments on heuri...
AbstractThe purpose of this paper is to establish some results on optimal criteria in experimental d...
The goal of this book is to gather in a single document the most relevant concepts related to modern...
Experiments on patients, processes or plants all have random error, making statistical methods essen...