most citedAnalytic solutions for locally optimal designs for gamma models having linear predictor without intercept

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

math.ST2020

In- and Equivariance for Optimal Designs in Generalized Linear Models: The Gamma Model

Osama Idais, Rainer Schwabe

We give an overview over the usefulness of the concept of equivariance and invariance in the design of experiments for generalized linear models. In contrast to linear models here…

math.ST2019

A note on locally optimal designs for generalized linear models with restricted support

Osama Idais

Optimal designs for generalized linear models require a prior knowledge of the regression parameters. At certain values of the parameters we propose particular assumptions which al…

math.ST2019

Locally optimal designs for generalized linear models within the family of Kiefer -criteria

Osama Idais

Locally optimal designs for generalized linear models are derived at certain values of the regression parameters. In the present paper a general setup of the generalized linear mod…

math.ST2019★ 2 cited

Analytic solutions for locally optimal designs for gamma models having linear predictor without intercept

Osama Idais, Rainer Schwabe

The gamma model is a generalized linear model for gamma-distributed outcomes. The model is widely applied in psychology, ecology or medicine. In this paper we focus on gamma models…