Equivalence of Regression Curves

DOI10.1080/01621459.2017.1281813zbMath1398.62045arXiv1505.05266OpenAlexW2573013575MaRDI QIDQ4962438

Stanislav Volgushev, Kathrin Möllenhoff, Frank Bretz, Dette, Holger

Publication date: 2 November 2018

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1505.05266

zbMATH Keywords

nonlinear regressionparametric bootstrapconstrained parameter estimationequivalence of curveskeywords and phrases: dose-response studies

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric hypothesis testing (62F03) Parametric inference under constraints (62F30) General nonlinear regression (62J02) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (12)

Testing equivalence of survival before but not after end of follow-up ⋮ Box-constrained monotone approximations to Lipschitz regularizations, with applications to robust testing ⋮ Directional differentiability for supremum-type functionals: statistical applications ⋮ Optimal designs for comparing curves in regression models with asymmetric errors ⋮ Simultaneous confidence tubes for comparing several multivariate linear regression models ⋮ Identifying Alert Concentrations Using a Model-Based Bootstrap Approach ⋮ Comparing regression curves: an \(L^1\)-point of view ⋮ Testing equivalence of multinomial distributions -- a constrained bootstrap approach ⋮ Detecting relevant changes in the spatiotemporal mean function ⋮ Statistical inference for function-on-function linear regression ⋮ Optimal designs for comparing population curves in hierarchical models ⋮ Optimal designs for comparing regression curves: dependence within and between groups

Uses Software

• DoseFinding

Cites Work

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