Robust estimation of distribution functions and quantiles with non-ignorable missing data

DOI10.1002/CJS.11195zbMath1281.62108OpenAlexW1997151724WikidataQ57535713 ScholiaQ57535713MaRDI QIDQ2870710

Pu-Ying Zhao, Man-Lai Tang, Nian Sheng Tang

Publication date: 21 January 2014

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

Full work available at URL: https://doi.org/10.1002/cjs.11195

zbMATH Keywords

quantile estimationexponential tiltingdistribution estimationonparametric regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Nonparametric estimation (62G05) Point estimation (62F10)

Related Items (12)

Statistical inference for nonignorable missing-data problems: a selective review ⋮ Efficient inverse probability weighting method for quantile regression with nonignorable missing data ⋮ Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse ⋮ Dimension-reduced empirical likelihood estimation and inference for M-estimators with nonignorable nonresponse ⋮ Bayesian local influence analysis of general estimating equations with nonignorable missing data ⋮ Empirical likelihood method for non-ignorable missing data problems ⋮ Efficient estimation of quantiles in missing data models ⋮ On estimation of distribution function using dual auxiliary information under nonresponse using simple random sampling ⋮ Handling estimating equation with nonignorably missing data based on SIR algorithm ⋮ Adjusted empirical likelihood estimation of distribution function and quantile with nonignorable missing data ⋮ Doubly Robust Inference for the Distribution Function in the Presence of Missing Survey Data ⋮ On the consistency of a spatial-type interval-valued median for random intervals

Cites Work

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• Dimension reduced kernel estimation for distribution function with incomplete data
• Distribution estimation with auxiliary information for missing data
• Empirical likelihood for semiparametric regression model with missing response data
• Empirical likelihood ratio confidence regions
• Empirical likelihood confidence bands for distribution functions with missing responses
• Empirical likelihood for linear models with missing responses
• On the asymptotic normality of statistics with estimated parameters
• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable
• Empirical Likelihood Confidence Intervals for Response Mean with Data Missing at Random
• On estimating distribution functions and quantiles from survey data using auxiliary information
• Nonparametric Estimation from Incomplete Observations
• Empirical likelihood ratio confidence intervals for a single functional
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Regression Analysis with Missing Covariate Data Using Estimating Equations
• Estimating distribution functions from survey data
• A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
• A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
• Some New Estimates for Distribution Functions
• A Generalization of Sampling Without Replacement From a Finite Universe

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