Robust Designs in Generalized Linear Models: A Quantile Dispersion Graphs Approach
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Publication:5860243
DOI10.1080/03610918.2014.904343zbMath1474.62275OpenAlexW2064039329MaRDI QIDQ5860243
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Publication date: 19 November 2021
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2014.904343
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- Robust designs for misspecified logistic models
- Robust designs for generalized linear models with possible overdispersion and misspecified link functions
- Optimal designs for regression models with possible bias
- On selecting parametric link transformation families in generalized linear models
- The design and analysis of computer experiments.
- Comparison of designs for generalized linear models under model misspecification
- An Experimental Design Criterion for Minimizing Meta-Model Prediction Errors Applied to Die Casting Process Design
- Goodness-of-link testing in ordinal regression models
- Recent Advances in Nonlinear Experimental Design
- Goodness of Link Tests for Generalized Linear Models
- On two families of transformations to additivity for binary response data
- Cumulative Frequency Functions
- Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large
- Multivariate statistical modelling based on generalized linear models.