Multiply robust imputation procedures for zero-inflated distributions in surveys

DOI10.1007/s40300-017-0128-9zbMath1392.62023OpenAlexW2763506269WikidataQ47556270 ScholiaQ47556270MaRDI QIDQ1689531

David Haziza, Sixia Chen

Publication date: 12 January 2018

Published in: Metron (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5777636

zbMATH Keywords

imputationvariance estimationdouble robustnessmultiple robustnessitem nonresponsezero-valued observations

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items

Jackknife empirical likelihood method for multiply robust estimation with missing data, Foreword to the special issue on ``Advances in survey statistics, Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review

Cites Work

• Unnamed Item
• Unnamed Item
• Oracle, multiple robust and multipurpose calibration in a missing response problem
• Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
• Jackknife empirical likelihood method for multiply robust estimation with missing data
• Preserving the distribution function in surveys in case of imputation for zero inflated data
• A further study of the multiply robust estimator in missing data analysis
• Sampling algorithms.
• A Jackknife Variance Estimator for Unistage Stratified Samples with Unequal Probabilities
• A unified approach to linearization variance estimation from survey data after imputation for item nonresponse
• Jackknife variance estimation with survey data under hot deck imputation
• Inference and missing data
• Bootstrap for Imputed Survey Data
• Variance Estimation for Survey Data with Composite Imputation and Nonnegligible Sampling Fractions
• Ensemble Approaches to Estimating the Population Mean with Missing Response
• Multiply Robust Estimation in Regression Analysis With Missing Data
• Doubly robust imputation procedures for finite population means in the presence of a large number of zeros
• OUP accepted manuscript
• Estimation with missing data: beyond double robustness
• Doubly robust inference with missing data in survey sampling
• Imputation using response probability
• Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population