Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables

DOI10.1007/s10182-013-0210-4zbMath1443.62103OpenAlexW1967672047MaRDI QIDQ1621250

Xiaofeng Lv, Rui Li

Publication date: 8 November 2018

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-013-0210-4

zbMATH Keywords

missing at randomsmoothed empirical likelihoodpartially linear quantile regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (10)

Smoothed empirical likelihood for quantile regression models with response data missing at random ⋮ Smoothed partially linear quantile regression with nonignorable missing response ⋮ Empirical likelihood in single-index partially functional linear model with missing observations ⋮ Bayesian empirical likelihood of quantile regression with missing observations ⋮ Imputation based statistical inference for partially linear quantile regression models with missing responses ⋮ Empirical likelihood for quantile regression models with response data missing at random ⋮ Weighted quantile regression for censored data with application to export duration data ⋮ Quantile regression and its empirical likelihood with missing response at random ⋮ Quantile regression of partially linear single-index model with missing observations ⋮ Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses

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