Rejoinder: A general approach to \(D\)-optimal designs for weighted univariate polynomial regression models
From MaRDI portal
Publication:2510914
DOI10.1016/J.JKSS.2009.11.003zbMath1293.62147OpenAlexW4235138926MaRDI QIDQ2510914
Matthias Trampisch, Dette, Holger
Publication date: 4 August 2014
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2009.11.003
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A generalization of D- and \(D_ 1\)-optimal designs in polynomial regression
- Optimal designs for trigonometric and polynomial regression using canonical moments
- Efficient \(D_ s\)-optimal designs for multivariate polynomial regression on the q-cube
- Optimal designs for a class of polynomials of odd or even degree
- General equivalence theory for optimum designs (approximate theory)
- Robust designs for multivariate polynomial regression on the \(d\)-cube
- Discrimination designs for polynomial regression on compact intervals
- Optimal designs for rational models
- Optimal discrimination designs for multifactor experiments
- Optimal designs for rational models and weighted polynomial regression
- Optimal designs for the identification of the order of a Fourier regression
- Constrained \(D\)- and \(D_ 1\)-optimal designs for polynomial regression.
- Robust designs for polynomial regression by maximizing a minimum of \(D\)- and \(D_1\)-efficiencies
- Criterion-robust optimal designs for model discrimination and parameter estimation in Fourier regression models
- Experimental designs for a class of weighted polynomial regression models
- Optimal experimental designs for inverse quadratic regression models
- Experimental design in a class of models
- Optimal multipurpose designs for regression models
This page was built for publication: Rejoinder: A general approach to \(D\)-optimal designs for weighted univariate polynomial regression models
