research
∙
07/05/2023
D-optimal Subsampling Design for Massive Data Linear Regression
Data reduction is a fundamental challenge of modern technology, where cl...
share
research
∙
07/05/2023
A p-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design
Under a nonlinear regression model with univariate response an algorithm...
research
∙
01/09/2023
Optimal Subsampling Design for Polynomial Regression in one Covariate
Improvements in technology lead to increasing availability of large data...
research
∙
01/07/2023
D-Optimal and Nearly D-Optimal Exact Designs for Binary Response on the Ball
In this paper the results of Radloff and Schwabe (2019a) will be extende...
research
∙
08/18/2022
Optimal designs for discrete choice models via graph Laplacians
In discrete choice experiments, the information matrix depends on the mo...
research
∙
03/27/2022
Optimal Design for Estimating the Mean Ability over Time in Repeated Item Response Testing
We present general results on D-optimal designs for estimating the mean ...
research
∙
10/12/2021
Optimal Time Plan in Accelerated Degradation Testing
Many highly reliable products are designed to function for years without...
research
∙
02/18/2021
Experimental Designs for Accelerated Degradation Tests Based on Linear Mixed Effects Models
Accelerated degradation tests are used to provide accurate estimation of...
research
∙
11/19/2020
In- and Equivariance for Optimal Designs in Generalized Linear Models: The Gamma Model
We give an overview over the usefulness of the concept of equivariance a...
research
∙
06/08/2020
D-optimal designs for Poisson regression with synergetic interaction effect
We characterize D-optimal designs in the two-dimensional Poisson regress...
research
∙
01/24/2020
Optimal Design for Probit Choice Models with Dependent Utilities
In this paper we derive locally D-optimal designs for discrete choice ex...
research
∙
12/09/2019
Experimental Designs for Accelerated Degradation Tests Based on Gamma Process Models
Accelerated degradation tests (ADTs) are used to provide an accurate est...
research
∙
11/13/2019
Optimality regions for designs in multiple linear regression models with correlated random coefficients
This paper studies optimal designs for linear regression models with cor...
research
∙
09/09/2019
Convergence of least squares estimators in the adaptive Wynn algorithm for a class of nonlinear regression models
The paper continues the authors' work on the adaptive Wynn algorithm in ...
research
∙
07/05/2019
The adaptive Wynn-algorithm in generalized linear models with univariate response
For a nonlinear regression model the information matrices of designs dep...
research
∙
04/06/2019
Analytic solutions for locally optimal designs for gamma models having linear predictor without intercept
The gamma model is a generalized linear model for gamma-distributed outc...
research
∙
01/08/2019
The semi-algebraic geometry of optimal designs for the Bradley-Terry model
Optimal design theory for nonlinear regression studies local optimality ...
research
∙
11/30/2018
Optimal designs for K-factor two-level models with first-order interactions on a symmetrically restricted design region
We develop D-optimal designs for linear models with first-order interact...
research
∙
11/27/2018
Optimal Designs for Second-Order Interactions in Paired Comparison Experiments with Binary Attributes
In paired comparison experiments respondents usually evaluate pairs of c...
research
∙
10/09/2018
D-Optimal Design for the Rasch Counts Model with Multiple Binary Predictors
In this paper, we derive optimal designs for the Rasch Poisson counts mo...
research
∙
09/20/2018
Locally D-optimal Designs for a Wider Class of Non-linear Models on the k-dimensional Ball with applications to logit and probit models
In this paper we extend the results of Radloff and Schwabe (2018), which...
research
∙
08/21/2018
Optimal designs for two-level main effects models on a restricted design region
We develop D-optimal designs for linear main effects models on a subset ...
research
∙
08/16/2018
Optimal Designs for Poisson Count Data with Gamma Block Effects
The Poisson-Gamma model is a generalization of the Poisson model, which ...
research
∙
07/26/2018
Optimal Design in Hierarchical Models with application in Multi-center Trials
Hierarchical random effect models are used for different purposes in cli...
research
∙
06/01/2018
Locally D-optimal Designs for Non-linear Models on the k-dimensional Ball
In this paper we construct (locally) D-optimal designs for a wide class ...
research
∙
03/17/2018