activity
20182023
most citedThe adaptive Wynn-algorithm in generalized linear models with univariate response

10 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

math.ST2023

A -step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design

Fritjof Freise, Norbert Gaffke, Rainer Schwabe

Under a nonlinear regression model with univariate response an algorithm for the generation of sequential adaptive designs is studied. At each stage, the current design is augmente…

math.ST2022★ 1 cited

Optimal Design for Estimating the Mean Ability over Time in Repeated Item Response Testing

Fritjof Freise, Heinz Holling, Rainer Schwabe

We present general results on D-optimal designs for estimating the mean response in repeated measures growth curve models with metric outcomes. For this situation, we derive a nove…

math.ST2019★ 2 cited

Convergence of least squares estimators in the adaptive Wynn algorithm for a class of nonlinear regression models

Fritjof Freise, Norbert Gaffke, Rainer Schwabe

The paper continues the authors' work on the adaptive Wynn algorithm in a nonlinear regression model. In the present paper it is shown that if the mean response function satisfies…

math.ST2019★ 10 cited

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…

math.ST2018★ 1 cited

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…

math.ST2018★ 4 cited

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.…