Optimal designs for regression models using the second-order least squares estimator

DOI10.5705/ss.202015.0285zbMath1392.62234OpenAlexW2594019807MaRDI QIDQ4601256

Julie Zhou, Yue Yin

Publication date: 12 January 2018

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/f441906b19e380b8c39b5a4ac432805ccf995e4d

zbMATH Keywords

convex optimizationnonlinear modelD-optimal designmultiplicative algorithmA-optimal designtransformation invarianceSeDuMi

Mathematics Subject Classification ID

Optimal statistical designs (62K05) General nonlinear regression (62J02)

Related Items (5)

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 ⋮ 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

• SeDuMi
• CVX

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