10 citations · 38 across the 25 of their papers we have counts for
9 papers · 1 filter
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 Second-Order Interactions in Paired Comparison Experiments with Binary Attributes
Eric Nyarko, Rainer Schwabe
In paired comparison experiments respondents usually evaluate pairs of competing options. For this situation we introduce an appropriate model and derive optimal designs in the pre…
D-Optimal Design for the Rasch Counts Model with Multiple Binary Predictors
Ulrike Graßhoff, Heinz Holling, Rainer Schwabe
In this paper, we derive optimal designs for the Rasch Poisson counts model and the Rasch Poisson-Gamma counts model incorporating several binary predictors for the difficulty para…
Locally -optimal Designs for a Wider Class of Non-linear Models on the -dimensional Ball with applications to logit and probit models
Martin Radloff, Rainer Schwabe
In this paper we extend the results of Radloff and Schwabe (2018), which could be applied for example to Poisson regression, negative binomial regression and proportional hazard mo…
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.…
Optimal Design in Hierarchical Models with application in Multi-center Trials
Maryna Prus, Norbert Benda, Rainer Schwabe
Hierarchical random effect models are used for different purposes in clinical research and other areas. In general, the main focus is on population parameters related to the expect…
Locally -optimal Designs for Non-linear Models on the -dimensional Ball
Martin Radloff, Rainer Schwabe
In this paper we construct (locally) -optimal designs for a wide class of non-linear multiple regression models, when the design region is a -dimensional ball. For this const…
Optimal Designs for the Generalized Partial Credit Model
Paul-Christian Bürkner, Rainer Schwabe, Heinz Holling
Analyzing ordinal data becomes increasingly important in psychology, especially in the context of item response theory. The generalized partial credit model (GPCM) is probably the…