Empirical likelihood approach to goodness of fit testing

DOI10.3150/12-BEJ440zbMath1273.62103arXiv1307.5982MaRDI QIDQ358139

Hanxiang Peng, Anton Schick

Publication date: 16 August 2013

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1307.5982

zbMATH Keywords

nuisance parameterregression modelestimated constraint functionsinfinitely many constraintstesting for a parametric modeltesting for a specific distributiontesting for independencetesting for symmetry

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (13)

Empirical likelihood for mean difference between two samples with missing data ⋮ Empirical likelihood for single-index models with responses missing at random ⋮ A randomness test for functional panels ⋮ Signed rank based empirical likelihood for the symmetric location model ⋮ Empirical likelihood confidence tubes for functional parameters in plug-in estimation ⋮ Empirical likelihood method for complete independence test on high-dimensional data ⋮ Jackknife empirical likelihood inferences for the population mean with ranked set samples ⋮ Weighted least squares estimation with missing responses: an empirical likelihood approach ⋮ Empirical likelihood for the parametric part in partially linear errors-in-function models ⋮ Empirical likelihood test for high dimensional linear models ⋮ Inference about the slope in linear regression: an empirical likelihood approach ⋮ Estimation of the error distribution in a varying coefficient regression model ⋮ Maximum empirical likelihood estimation and related topics

Uses Software

• emplik

Cites Work

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