Empirical likelihood-based confidence intervals for data with possible zero observations.

DOI10.1016/S0167-7152(03)00216-5zbMath1116.62345MaRDI QIDQ1423101

Jing Qin, Song Xi Chen

Publication date: 14 February 2004

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

Skewed distributionEmpirical likelihoodConfidence intervalsZero values

Mathematics Subject Classification ID

Nonparametric tolerance and confidence regions (62G15)

Related Items (10)

Confidence intervals for data containing many zeros and ones based on empirical likelihood-type methods ⋮ Bayesian analysis of nonnegative data using dependency-extended two-part models ⋮ Nonparametric interval estimation for the mean of a zero-inflated population ⋮ Empirical likelihood-based inferences for the Lorenz curve ⋮ Jackknife empirical likelihood for the mean of a zero-and-one inflated population ⋮ Confidence intervals for ratios of means applied to corpus-based word frequency classes ⋮ Empirical-likelihood-based hypothesis tests for the means of two zero-inflated populations ⋮ Modified empirical likelihood-based confidence intervals for data containing many zero observations ⋮ Semiparametric inference on the means of multiple nonnegative distributions with excess zero observations ⋮ Confidence intervals for the mean of a population containing many zero values under unequal-probability sampling

Cites Work

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• Estimation of Relationships for Limited Dependent Variables
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• Empirical likelihood ratio confidence intervals for a single functional
• Estimation of rare errors using expert judgement
• On sampling and the estimation of rare errors
• Confidence Intervals for the Mean of Diagnostic Test Charge Data Containing Zeros

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