General orthogonal designs for parameter estimation of ANOVA models under weighted sum-to-zero constraints
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Publication:2832621
DOI10.1080/03610926.2014.957860zbMath1396.62178OpenAlexW2509635610MaRDI QIDQ2832621
Publication date: 11 November 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.957860
Optimal statistical designs (62K05) Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10)
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Cites Work
- D-optimal two-level orthogonal arrays for estimating main effects and some specified two-factor interactions
- Orthogonal arrays for estimating global sensitivity indices of non-parametric models based on ANOVA high-dimensional model representation
- A new and flexible method for constructing designs for computer experiments
- Orthogonal arrays with variable numbers of symbols
- Optimality of certain asymmetrical experimental designs
- Lattices and dual lattices in optimal experimental design for Fourier models.
- Optimal regression designs in the presence of random block effects
- Further results on the orthogonal arrays obtained by generalized Hadamard product
- Generalized minimum aberration for asymmetrical fractional factorial designs.
- An efficient algorithm for constructing optimal design of computer experiments
- A maximin criterion for the logistic random intercept model with covariates
- Maximin D-Optimal Designs for Longitudinal Mixed Effects Models
- Construction of orthogonal and nearly orthogonal Latin hypercubes
- A new approach in constructing orthogonal and nearly orthogonal arrays.
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