Weighted Wilcoxon Estimators in Nonlinear Regression

DOI10.1111/anzs.12046zbMath1335.62113OpenAlexW1973323050MaRDI QIDQ2803538

Joseph W. McKean, Asheber Abebe

Publication date: 2 May 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12046

zbMATH Keywords

robustconsistencyasymptotic normalityMonte Carloleast squaresdiagnosticsrank-based

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) General nonlinear regression (62J02)

Related Items (6)

Rank-Based Analysis of Linear Models and Beyond: A Review ⋮ Iterated Reweighted Rank-Based Estimates for GEE Models ⋮ Strong consistency of the general rank estimator ⋮ Efficient and adaptive rank-based fits for linear models with skew-normal errors ⋮ General rank-based estimation for regression single index models ⋮ Regularised rank quasi-likelihood estimation for generalised additive models

Cites Work

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• Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
• High-Breakdown Rank Regression
• Asymptotic Properties of Non-Linear Least Squares Estimators
• The Consistency of Nonlinear Regressions
• Nonparametric Estimate of Regression Coefficients

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