Fully efficient estimation of coefficients of correlation in the presence of imputed survey data

DOI10.1002/CJS.10133zbMath1274.62092OpenAlexW2092227601MaRDI QIDQ3225774

David Haziza, Guillaume Chauvet

Publication date: 22 March 2012

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

Full work available at URL: https://doi.org/10.1002/cjs.10133

zbMATH Keywords

imputationbootstrap variance estimationbalanced imputationcoefficient of correlation

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Related Items (7)

Preserving relationships between variables with MIVQUE based imputation for missing survey data ⋮ Vine Copulas for Imputation of Monotone Non‐response ⋮ Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review ⋮ Doubly robust imputation procedures for finite population means in the presence of a large number of zeros ⋮ Exact balanced random imputation for sample survey data ⋮ Preserving the distribution function in surveys in case of imputation for zero inflated data ⋮ Doubly Robust Inference for the Distribution Function in the Presence of Missing Survey Data

Cites Work

• Variance approximation under balanced sampling
• Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors
• On balanced random imputation in surveys
• Fractional hot deck imputation
• Jackknife variance estimation with survey data under hot deck imputation
• Inference and missing data
• Balanced Repeated Replication for Stratified Multistage Survey Data under Imputation
• Sample Correlation Coefficients Based on Survey Data Under Regression Imputation
• Variance Estimation for Survey Data with Composite Imputation and Nonnegligible Sampling Fractions

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