A Robust Procedure in Nonlinear Models for Repeated Measurements

DOI10.1080/03610920802074836zbMath1292.62102OpenAlexW2043759936MaRDI QIDQ5495091

Antonio I. Sanhueza, Pranab Kumar Sen, Víctor Leiva

Publication date: 30 July 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/133158

zbMATH Keywords

consistencynormalityM-estimatorsuniform asymptotic linearityM-testsWald-type tests

Mathematics Subject Classification ID

Nonparametric robustness (62G35) General nonlinear regression (62J02)

Related Items (4)

Log‐symmetric quantile regression models ⋮ Statistical inference in nonlinear regression under heteroscedasticity ⋮ Unnamed Item ⋮ Matrix differential calculus with applications in the multivariate linear model and its diagnostics

Cites Work

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• M-methods in multivariate linear models
• Robust m-estimators of multivariate location and scatter
• Application of the Four-Parameter Logistic Model to Bioassay: Comparison with Slope Ratio and Parallel Line Models
• Robust Statistics

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