Doubly Robust Inference for the Distribution Function in the Presence of Missing Survey Data

DOI10.1111/sjos.12198zbMath1468.62249OpenAlexW2204079748MaRDI QIDQ2821473

David Haziza, Guillaume Chauvet, Helène Boistard

Publication date: 21 September 2016

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

Full work available at URL: https://doi.org/10.1111/sjos.12198

zbMATH Keywords

distribution functiondoubly robust inferenceimputation model approachnon-response model approach

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Sampling theory, sample surveys (62D05) Missing data (62D10)

Related Items

Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review ⋮ Handling high-dimensional data with missing values by modern machine learning techniques ⋮ Exact balanced random imputation for sample survey data ⋮ Preserving the distribution function in surveys in case of imputation for zero inflated data

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