Robust designs for generalized linear models with possible overdispersion and misspecified link functions

DOI10.1016/j.csda.2009.09.032zbMath1464.62015OpenAlexW2082748942MaRDI QIDQ962333

Adeniyi J. Adewale, Xiao-Jian Xu

Publication date: 6 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2009.09.032

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Generalized linear models (logistic models) (62J12)

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Comparison of designs for generalized linear models under model misspecification ⋮ Robust designs for dose-response studies: model and labelling robustness ⋮ Robust and efficient estimation of effective dose ⋮ Robust designs for multinomial models ⋮ On generalized multinomial models and joint percentile estimation ⋮ Robust designs for generalized linear mixed models with possible model misspecification ⋮ A model robust subsampling approach for generalised linear models in big data settings ⋮ Sequential D-optimal designs for generalized linear mixed models ⋮ Robust designs for multivariate logistic regression ⋮ Variable dispersion beta regressions with parametric link functions ⋮ Robust Designs in Generalized Linear Models: A Quantile Dispersion Graphs Approach

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