Empirical likelihood confidence region for parameters in linear errors-in-variables models with missing data

DOI10.1007/S11424-010-8111-ZzbMath1227.62032OpenAlexW2049347466MaRDI QIDQ646739

Juan-Miguel Gracia

Publication date: 17 November 2011

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-010-8111-z

zbMATH Keywords

empirical likelihood ratiocoverage ratemultivariate linear errors-invariables modelweighted adjusted LS estimation

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric tolerance and confidence regions (62G15)

Cites Work

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• Empirical likelihood ratio confidence regions
• Empirical likelihood confidence region for parameter in the errors-in-variables models.
• Nonparametric Monte Carlo tests and their applications.
• Empirical Likelihood Confidence Region for Parameters in Semi-linear Errors-in-Variables Models
• Partially linear models with missing response variables and error-prone covariates
• Logistic regression for two-stage case-control data
• Inference and missing data
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• The Generalized Estimating Equation Approach When Data Are Not Missing Completely at Random
• Design Aspects of Calibration Studies in Nutrition, with Analysis of Missing Data in Linear Measurement Error Models
• Estimating Equations with Nonignorably Missing Response Data
• A mean score method for missing and auxiliary covariate data in regression models
• Estimation in Partially Linear Models With Missing Covariates

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