2 citations · 3 across the 4 of their papers we have counts for
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In- and Equivariance for Optimal Designs in Generalized Linear Models: The Gamma Model
Osama Idais, Rainer Schwabe
We give an overview over the usefulness of the concept of equivariance and invariance in the design of experiments for generalized linear models. In contrast to linear models here…
The adaptive Wynn-algorithm in generalized linear models with univariate response
Fritjof Freise, Norbert Gaffke, Rainer Schwabe
For a nonlinear regression model the information matrices of designs depend on the parameter of the model. The adaptive Wynn-algorithm for D-optimal design estimates the parameter…
Analytic solutions for locally optimal designs for gamma models having linear predictor without intercept
Osama Idais, Rainer Schwabe
The gamma model is a generalized linear model for gamma-distributed outcomes. The model is widely applied in psychology, ecology or medicine. In this paper we focus on gamma models…
Optimal designs for -factor two-level models with first-order interactions on a symmetrically restricted design region
Fritjof Freise, Rainer Schwabe
We develop -optimal designs for linear models with first-order interactions on a subset of the full factorial design region, when both the number of factors set to the hig…
Optimal Designs for Poisson Count Data with Gamma Block Effects
Marius Schmidt, Rainer Schwabe
The Poisson-Gamma model is a generalization of the Poisson model, which can be used for modelling count data. We show that the -optimality criterion for the Poisson-Gamma model…
Optimal designs for two-level main effects models on a restricted design region
Fritjof Freise, Heinz Holling, Rainer Schwabe
We develop -optimal designs for linear main effects models on a subset of the full factorial design region, when the number of factors set to the higher level is bounded.…