D-optimal minimax regression designs on discrete design space
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Publication:951076
DOI10.1016/j.jspi.2008.03.013zbMath1146.62059OpenAlexW1974521626MaRDI QIDQ951076
Publication date: 29 October 2008
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.03.013
Optimal statistical designs (62K05) Applications of statistics to environmental and related topics (62P12) Response surface designs (62K20) Robust parameter designs (62K25)
Related Items (8)
Robust multistratum baseline designs ⋮ Minimax designs for linear regression models with bias in a reproducing kernel Hilbert space in a discrete set ⋮ On ExactK-optimal Designs Minimizing the Condition Number ⋮ D-optimal minimax design criterion for two-level fractional factorial designs ⋮ Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs ⋮ D-optimal minimax fractional factorial designs ⋮ K-Optimal Design via Semidefinite Programming and Entropy Optimization ⋮ Computing A-optimal and E-optimal designs for regression models via semidefinite programming
Cites Work
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- Optimal designs which are efficient for lack of fit tests
- Discrete minimax designs for regression models with autocorrelated MA errors
- Efficient \(D_ s\)-optimal designs for multivariate polynomial regression on the q-cube
- Optimal designs for regression models with possible bias
- Robust designs for nearly linear regression
- Minimax designs for approximately linear regression
- Robust designs for multivariate polynomial regression on the \(d\)-cube
- Optimal discrimination designs for multifactor experiments
- Robust designs for polynomial regression by maximizing a minimum of \(D\)- and \(D_1\)-efficiencies
- An algorithm for calculating \(\Gamma\)-minimax decision rules under generalized moment conditions.
- Existence and symmetry of minimax regression designs
- Lack-of-fit-efficiently optimal designs to estimate the highest coefficient of a polynomial with large degree
- Efficient lack of fit designs that are optimal to estimate the highest coefficient of a polynomial
- Matrix Analysis
- The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear-Regression Models
- A two-stage strategy for the construction of d-optimal experimental designs
- An efficient design for model discrimination and parameter estimation in linear models
- Minimax designs for approximately linear models with AR(1) errors
- Minimax Robust Designs and Weights for Approximately Specified Regression Models with Heteroscedastic Errors
- Integer-Valued, Minimax Robust Designs for Estimation and Extrapolation in Heteroscedastic, Approximately Linear Models
- INTEGER-VALUED, MINIMAX ROBUST DESIGNS FOR APPROXIMATELY LINEAR MODELS WITH CORRELATED ERRORS
- Robustness properties of minimally-supported Bayesian D-optimal designs for heteroscedastic models
- Bayesian D-Optimal and Model Robust Designs in Linear Regression Models
- for misspecified regression models
- Experimental Designs for Model Discrimination
- A Basis for the Selection of a Response Surface Design
- Applications of necessary and sufficient conditions for maximin efficient designs
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