Empirical likelihood inference in the presence of measurement error

DOI10.2307/3315920zbMath0966.62006OpenAlexW2008608032MaRDI QIDQ2714935

Bob Zhong, J. N. K. Rao, Jiahua Chen

Publication date: 17 August 2001

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/ceac524bcefcdb1a9ea09bdc247f3618a85c889b

zbMATH Keywords

asymptotic normalitymeasurement errorestimating functionscumulative distribution functionmaximum empirical likelihood

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Foundations and philosophical topics in statistics (62A01)

Related Items

Some Theoretical and Practical Aspects of Empirical Likelihood Methods for Complex Surveys ⋮ Shrinkage strategy in stratified random sample subject to measurement error ⋮ Rank-based empirical likelihood inference on medians of \(k\) populations ⋮ Robust inference strategy in the presence of measurement error ⋮ Empirical likelihood inference under stratified random sampling in the presence of measurement error ⋮ Empirical likelihood inference for a common mean in the presence of heteroscedasticity

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