\(D\)-optimal designs for polynomial regression models through origin
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Publication:1613087
DOI10.1016/S0167-7152(02)00085-8zbMath0996.62071MaRDI QIDQ1613087
Publication date: 5 September 2002
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
D-optimalityHankel determinantJacobi polynomialspolynomial regressioncanonical momentsregression through the origin
Linear regression; mixed models (62J05) Optimal statistical designs (62K05) Robustness and adaptive procedures (parametric inference) (62F35)
Related Items (9)
Some robust designs for polynomial regression models ⋮ D-optimal designs for weighted polynomial regression. ⋮ An algorithm for calculating \(D\)-optimal designs for polynomial regression through a fixed point ⋮ Optimal Designs for Rational Function Regression ⋮ \(D\)-optimal designs for weighted polynomial regression -- a functional approach ⋮ A general approach to \(D\)-optimal designs for weighted univariate polynomial regression models ⋮ 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 ⋮ A note on D-optimal designs for models with and without an intercept
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- Efficiency Problems in Polynomial Estimation
- Extreme nth moments for distributions on [0, 1 and the inverse of a moment space map]
- Some Striking Properties of Binomial and Beta Moments
- Geometry of moment spaces
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