Robust sequential designs for nonlinear regression

DOI10.2307/3316099zbMath1018.62057OpenAlexW1998973039MaRDI QIDQ4707444

Douglas P. Wiens, Sanjoy Kumar Sinha

Publication date: 16 September 2003

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/690294302e92c0d5bb62605cc65ec54571d02a77

zbMATH Keywords

D-optimalitycurvatureheteroscedasticityI-optimalityM-estimationstatic design

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Robustness and adaptive procedures (parametric inference) (62F35) General nonlinear regression (62J02) Sequential statistical design (62L05)

Related Items (16)

Bayesian Minimally SupportedD-Optimal Designs for an Exponential Regression Model ⋮ Comparison of designs for generalized linear models under model misspecification ⋮ Robust Discrimination Designs ⋮ Model robust designs for survival trials ⋮ Robust static designs for approximately specified nonlinear regression models ⋮ Robust designs for generalized linear mixed models with possible model misspecification ⋮ Robust optimal design when missing data happen at random ⋮ Sequential D-optimal designs for generalized linear mixed models ⋮ The augmentation of existing data for improving the path of steepest ascent ⋮ Robust designs for multivariate logistic regression ⋮ Robust designs for misspecified logistic models ⋮ Robust prediction and extrapolation designs for misspecified generalized linear regression models ⋮ Robust designs for one-point extrapolation ⋮ Robust prediction and extrapolation designs for censored data ⋮ Robust designs for generalized linear models with possible overdispersion and misspecified link functions ⋮ Robust prediction and extrapolation designs for nonlinear regression with imprecision

Uses Software

• nlmdl

Cites Work

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