Signed-rank regression inference via empirical likelihood

DOI10.1080/00949655.2015.1032288OpenAlexW2067339945MaRDI QIDQ5222369

Yichuan Zhao, Huybrechts F. Bindele

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1032288

zbMATH Keywords

confidence intervalsempirical likelihoodsigned-rank norm

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) General nonlinear regression (62J02)

Related Items (2)

Robust confidence regions for the semi-parametric regression model with responses missing at random ⋮ Generalized signed-rank estimation for regression models with non-ignorable missing responses

Cites Work

• Unnamed Item
• Unnamed Item
• Asymptotics of the signed-rank estimator under dependent observations
• Empirical likelihood ratio confidence regions
• On asymptotic normality in nonlinear regression
• The consistency of nonlinear regression minimizing the \(L_ 1-\)norm
• Empirical likelihood and general estimating equations
• Rank statistics under dependent observations and applications to factorial designs
• Bounded influence nonlinear signed-rank regression
• Nonlinear Regression with Dependent Observations
• Approximation Theorems of Mathematical Statistics
• Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen
• Empirical Likelihood Based Rank Regression Inference
• Empirical likelihood ratio confidence intervals for a single functional
• Asymptotics of Quantiles and Rank Scores in Nonlinear Time Series
• Jackknife Empirical Likelihood
• On the Consistency of a Class of Nonlinear Regression Estimators

This page was built for publication: Signed-rank regression inference via empirical likelihood