D-optimal designs based on the second-order least squares estimator
From MaRDI portal
Publication:513688
DOI10.1007/s00362-015-0688-9zbMath1359.62317OpenAlexW316531273MaRDI QIDQ513688
Publication date: 7 March 2017
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-015-0688-9
convex optimizationpolynomial regressionoptimal designasymmetric distributiontrigonometric regressionmoment theory
Related Items (6)
Optimal designs for multi-factor nonlinear models based on the second-order least squares estimator ⋮ Optimal designs for comparing curves in regression models with asymmetric errors ⋮ Optimal designs with string property under asymmetric errors and SLS estimation ⋮ Properties of optimal regression designs under the second-order least squares estimator ⋮ \(R\)-optimality criterion for regression models with asymmetric errors ⋮ \(I_L\)-optimal designs for regression models under the second-order least squares estimator
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- D-optimal designs via a cocktail algorithm
- A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models
- Optimal and robust designs for trigonometric regression models
- Second-order nonlinear least squares estimation
- Improving updating rules in multiplicative algorithms for computing \(D\)-optimal designs
- Monotonic convergence of a general algorithm for computing optimal designs
- \(D\)-optimal designs for trigonometric regression models on a partial circle
- Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties
- A semi-infinite programming based algorithm for determining T-optimum designs for model discrimination
- Exact \(D\)-optimal designs for first-order trigonometric regression models on a partial circle
- New optimal design criteria for regression models with asymmetric errors
- An Introduction to Optimal Designs for Social and Biomedical Research
- Optimal Designs for Trigonometric Regression
- An algorithm for optimal designs on a design space
- Optimal Designs for Rational Function Regression
- Computing Optimal Experimental Designs via Interior Point Method
This page was built for publication: D-optimal designs based on the second-order least squares estimator