Estimation of single index model with missing response at random

DOI10.1016/j.jspi.2009.11.017zbMath1184.62031OpenAlexW2051310628MaRDI QIDQ963854

Yanhua Wang, Jun-shan Shen, Shu-yuan He, Qi Hua Wang

Publication date: 14 April 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.11.017

zbMATH Keywords

law of the iterated logarithmmissing at randomcentral limit theorysingle index modelunknown link function

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Multivariate analysis (62H99) Estimation in multivariate analysis (62H12)

Related Items

Estimation and empirical likelihood for single-index models with missing data in the covariates ⋮ Empirical likelihood for single-index models with responses missing at random ⋮ Joint estimation for single index mean-covariance models with longitudinal data ⋮ Estimation in semiparametric models with missing data ⋮ Multi-index regression models with missing covariates at random ⋮ Efficient parameter estimation in regression with missing responses ⋮ Semiparametric estimation for weighted average derivatives with responses missing at random ⋮ Weighted estimation of single index models with right censored responses ⋮ Semiparametric double robust and efficient estimation for mean functionals with response missing at random ⋮ Inverse probability weighted estimators for single-index models with missing covariates ⋮ Robust estimation of single index models with responses missing at random ⋮ An Extended Single‐index Model with Missing Response at Random ⋮ Statistical Inference on Partially Linear Additive Models with Missing Response Variables and Error-prone Covariates ⋮ Empirical likelihood for single index model with missing covariates at random

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