2 papers
stat.ME2020
Optimal Design for Probit Choice Models with Dependent Utilities
Ulrike Graßhoff, Heiko Großmann, Heinz Holling +1
In this paper we derive locally D-optimal designs for discrete choice experiments based on multinomial probit models. These models include several discrete explanatory variables as…
stat.ME2018
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…