Empirical likelihood ratio tests for the linear regression model with inequality constraints

DOI10.1080/03610926.2014.953690zbMath1348.62159OpenAlexW2486396999MaRDI QIDQ2830182

Li Chen

Publication date: 9 November 2016

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

Full work available at URL: https://doi.org/10.1080/03610926.2014.953690

zbMATH Keywords

empirical likelihoodlinear regression modelchi-bar squareinequality hypothesis

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Cites Work

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• Empirical likelihood ratio confidence regions
• Empirical Bayes test of regression coefficient in a multiple linear regression model
• Empirical likelihood hypothesis test on mean with inequality constraints
• Pseudo-likelihood theory for empirical likelihood
• Testing inequality constraints in linear econometric models
• Empirical likelihood for linear models
• Empirical likelihood and general estimating equations
• Empirical likelihood ratio test for or against a set of inequality constraints.
• Empirical likelihood is Bartlett-correctable
• Empirical likelihood ratio confidence intervals for a single functional
• Likelihood Ratio Test, Wald Test, and Kuhn-Tucker Test in Linear Models with Inequality Constraints on the Regression Parameters
• Estimating equations, empirical likelihood and constraints on parameters

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