8 citations · 16 across the 8 of their papers we have counts for
8 papers
A criterion and incremental design construction for simultaneous kriging predictions
Helmut Waldl, Werner G. Müller, Paula Camelia Trandafir
In this paper, we further investigate the problem of selecting a set of design points for universal kriging, which is a widely used technique for spatial data analysis. Our goal is…
Impact of the error structure on the design and analysis of enzyme kinetic models
Elham Yousefi, Werner G. Müller
The statistical analysis of enzyme kinetic reactions usually involves models of the response functions which are well defined on the basis of Michaelis-Menten type equations. The e…
Copula-based robust optimal block designs
W. G. Mueller, A. Rappold, D. C. Woods
Blocking is often used to reduce known variability in designed experiments by collecting together homogeneous experimental units. A common modelling assumption for such experiments…
A design criterion for symmetric model discrimination based on nominal confidence sets
Radoslav Harman, Werner G. Müller
Experimental design applications for discriminating between models have been hampered by the assumption to know beforehand which model is the true one, which is counter to the very…
Optimal discrimination design for copula models
Elisa Perrone, Andreas Rappold, Werner G. Müller
Optimum experimental design theory has recently been extended for parameter estimation in copula models. However, the choice of the correct dependence structure still requires wide…
Optimal Designs for Copula Models
Elisa Perrone, Werner G. Müller
Copula modelling has in the past decade become a standard tool in many areas of applied statistics. However, a largely neglected aspect concerns the design of related experiments.…
Likelihood-free Simulation-based Optimal Design
Markus Hainy, Werner G. Müller, Helga Wagner
Simulation-based optimal design techniques are a convenient tool for solving a particular class of optimal design problems. The goal is to find the optimal configuration of factor…
Efficient Prediction Designs for Random Fields
Werner G. Müller, Luc Pronzato, Joao Rendas +1
For estimation and predictions of random fields it is increasingly acknowledged that the kriging variance may be a poor representative of true uncertainty. Experimental designs bas…