Optimal designs for comparing regression models with correlated observations
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Publication:1658166
DOI10.1016/J.CSDA.2016.06.017zbMath1464.62060arXiv1601.06722OpenAlexW2263033765MaRDI QIDQ1658166
Kirsten Schorning, Maria Konstantinou, Dette, Holger
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1601.06722
Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Optimal statistical designs (62K05)
Related Items (5)
Special issue on design of experiments ⋮ Optimal designs for comparing curves in regression models with asymmetric errors ⋮ Minimax D-optimal designs for multivariate regression models with multi-factors ⋮ Optimal designs for comparing population curves in hierarchical models ⋮ Optimal designs for comparing regression curves: dependence within and between groups
Cites Work
- Unnamed Item
- Unnamed Item
- Optimal designs for comparing curves
- Optimal prediction designs in finite discrete spectrum linear regression models
- Equidistant and \(D\)-optimal designs for parameters of Ornstein-Uhlenbeck process
- Robustness of design against autocorrelation in time I: Asymptotic theory, optimality for location and linear regression
- Convex analysis and nonlinear optimization. Theory and examples
- A new approach to optimal designs for correlated observations
- Particle Swarm Optimization
- Measures for designs in experiments with correlated errors
- A New Approach to Optimal Design for Linear Models With Correlated Observations
- Designs for Regression Problems With Correlated Errors: Many Parameters
- Assessing Nonsuperiority, Noninferiority, or Equivalence When Comparing Two Regression Models Over a Restricted Covariate Region
- Optimal design of experiments subject to correlated errors
- Optimal designs in regression with correlated errors
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