M-Estimators Based on Inverse Probability Weighted Estimating Equations with Response Missing at Random

DOI10.1080/03610920601076917zbMath1115.62026OpenAlexW2163861645MaRDI QIDQ3593532

Qi Hua Wang

Publication date: 23 July 2007

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920601076917

zbMATH Keywords

imputationmissing datainverse probability weight

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05) Point estimation (62F10)

Related Items (3)

Impact of sufficient dimension reduction in nonparametric estimation of causal effect ⋮ Generalized empirical likelihood for nonsmooth estimating equations with missing data ⋮ Dimension reduction for kernel-assisted M-estimators with missing response at random

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