A note on locally optimal designs for generalized linear models with restricted support
Statistics Theory
2019-06-26 v1 Methodology
Statistics Theory
Abstract
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 allow to derive a locally optimal design for a model without intercept from a locally optimal design for the corresponding model with intercept and vice versa. Applications to Poisson and logistic models and Extensions to nonlinear models are provided.
Cite
@article{arxiv.1906.10125,
title = {A note on locally optimal designs for generalized linear models with restricted support},
author = {Osama Idais},
journal= {arXiv preprint arXiv:1906.10125},
year = {2019}
}
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