Empirical likelihood-based inference for parameter and nonparametric function in partially nonlinear models
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Publication:397226
DOI10.1016/J.JKSS.2013.11.002zbMath1306.62092OpenAlexW2013242907MaRDI QIDQ397226
Zheng Tian, Yanting Xiao, Fuxiao Li
Publication date: 11 August 2014
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2013.11.002
Related Items (11)
Statistical estimation in partially nonlinear models with random effects ⋮ Estimation and inference for additive partially nonlinear models ⋮ Estimation and inference for varying coefficient partially nonlinear errors-in-variables models ⋮ Estimation for varying coefficient partially nonlinear models with distorted measurement errors ⋮ Empirical likelihood inferences for varying coefficient partially nonlinear models ⋮ Bias-corrected estimations in varying-coefficient partially nonlinear models with measurement error in the nonparametric part ⋮ Statistical inference for a varying-coefficient partially nonlinear model with measurement errors ⋮ Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model ⋮ Two-stage estimation and simultaneous confidence band in partially nonlinear additive model ⋮ Empirical likelihood dimension reduction inference for partially non-linear error-in-responses models with validation data ⋮ Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses
Cites Work
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