Topics
optimizationCultivar (cultivated variety)
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
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...
In this paper we show that optimal design of experiments, a specific topic in statistics, constitute...
Experiments on patients, processes or plants all have random error, making statistical methods essen...
Abstract Optimal designs play an important role in many applied areas such as medical and industrial...
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...
Although statistical design is one of the oldest branches of statistics, its importance is ever incr...
Alphabetical optimal designs are found by minimising a scalar function of the inverseFisher informat...
This document introduces the reader to the analysis of results of computational experiments on heuri...
R (R Core Team 2014) provides a powerful and flexible system for statistical computations. It has a ...
With the increasing popularity of optimal design in drug development it is important to understand h...
The goal of this book is to gather in a single document the most relevant concepts related to modern...
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...
In this paper we show that optimal design of experiments, a specific topic in statistics, constitute...
Experiments on patients, processes or plants all have random error, making statistical methods essen...
Abstract Optimal designs play an important role in many applied areas such as medical and industrial...
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...
Although statistical design is one of the oldest branches of statistics, its importance is ever incr...
Alphabetical optimal designs are found by minimising a scalar function of the inverseFisher informat...
This document introduces the reader to the analysis of results of computational experiments on heuri...
R (R Core Team 2014) provides a powerful and flexible system for statistical computations. It has a ...
With the increasing popularity of optimal design in drug development it is important to understand h...
The goal of this book is to gather in a single document the most relevant concepts related to modern...
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...
In this paper we show that optimal design of experiments, a specific topic in statistics, constitute...
Experiments on patients, processes or plants all have random error, making statistical methods essen...
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