A consistent jackknife empirical likelihood test for distribution functions

DOI10.1007/S10463-015-0550-9zbMath1362.62100OpenAlexW2272338446MaRDI QIDQ520555

Yi Liu, Qi Hua Wang, Xiao Hui Liu

Publication date: 5 April 2017

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-015-0550-9

zbMATH Keywords

estimating equationsjackknife empirical likelihoodCramér-von Mises test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Nonparametric estimation (62G05)

Related Items (1)

Empirical likelihood test for equality of two distributions using distance of characteristic functions

Cites Work

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• Jackknife empirical likelihood tests for distribution functions
• Empirical likelihood ratio confidence regions
• Smooth depth contours characterize the underlying distribution
• Empirical likelihood and general estimating equations
• Empirical likelihood based hypothesis testing
• Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
• Depth-based weighted empirical likelihood and general estimating equations
• Large dimensional empirical likelihood
• Empirical likelihood ratio confidence intervals for a single functional
• Asymptotic Statistics
• Empirical likelihood-based inference in linear errors-in-covariables models with validation data
• Jackknife Empirical Likelihood

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