10 citations · 38 across the 25 of their papers we have counts for
4 papers · 1 filter
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…
D-optimal Subsampling Design for Massive Data Linear Regression
Torsten Glemser, Rainer Schwabe
Data reduction is a fundamental challenge of modern technology, where classical statistical methods are not applicable because of computational limitations. We consider multiple li…
Optimal Subsampling Design for Polynomial Regression in one Covariate
Torsten Reuter, Rainer Schwabe
Improvements in technology lead to increasing availability of large data sets which makes the need for data reduction and informative subsamples ever more important. In this paper…
-Optimal and Nearly -Optimal Exact Designs for Binary Response on the Ball
Martin Radloff, Rainer Schwabe
In this paper the results of Radloff and Schwabe (2019a) will be extended for a special class of symmetrical intensity functions. This includes binary response models with logit an…