\(E\)-optimal designs for polynomial regression without intercept
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Publication:1125982
DOI10.1016/S0378-3758(95)00196-4zbMath0866.62045OpenAlexW2008925588MaRDI QIDQ1125982
Fu-Chuen Chang, Berthold Heiligers
Publication date: 24 July 1997
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(95)00196-4
Chebyshev polynomialspolynomial regressiontotal positivityweak Chebyshev systemmean vectorapproximate designsoptimal weights\(c\)-optimal designs\(E\)-optimal designsequioscillating polynomialheteroscedastic setups
Related Items (10)
\(D\)-optimal designs for polynomial regression models through origin ⋮ ComputingA-optimal Designs for Weighted Polynomial Regression by Taylor Expansion ⋮ Exact \(D\)-optimal designs for polynomial regression without intercept ⋮ New optimal design criteria for regression models with asymmetric errors ⋮ Optimal Designs for Rational Function Regression ⋮ \(D\)-optimal designs for weighted polynomial regression -- a functional approach ⋮ Optimal designs for estimating individual coefficients in polynomial regression with no intercept ⋮ Some explicit solutions of \(c\)-optimal design problems for polynomial regression with no intercept ⋮ Unnamed Item ⋮ \(E\)-optimal designs for rational models
Cites Work
- A note on \(E\)-optimal designs for weighted polynomial regression
- Further characterizations of design optimality and admissibility for partial parameter estimation in linear regression
- Totally nonnegative moment matrices
- \(E\)-optimal designs in weighted polynomial regression
- Computing \(E\)-optimal polynomial regression designs.
- \(E\)-optimal designs for polynomial regression
- Equioscillation under nonuniqueness in the approximation of continuous functions
- Inequalities: theory of majorization and its applications
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