Imputation for Missing Values and Corresponding Variance Estimation

DOI10.2307/3315357zbMath0876.62004OpenAlexW4253623070MaRDI QIDQ4344834

J. N. K. Rao, Randy R. Sitter

Publication date: 23 November 1997

Published in: The Canadian Journal of Statistics / La Revue Canadienne de Statistique (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315357

zbMATH Keywords

linearizationvariance estimatorsratio imputationjackknife linearization

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Nonparametric statistical resampling methods (62G09)

Related Items (6)

A composite class of estimators to deal with the issue of variance estimation under the situations of random non-response in two-occasion successive sampling ⋮ Imputation of mean of ratios for missing data and its application to PPSWR sampling ⋮ Imputation using higher order moments of an auxiliary variable ⋮ Confidence intervals for a common mean with missing data with applications in an AIDS study ⋮ Amputation versus imputation of missing values through ratio method in sample surveys ⋮ A new robust ratio estimator by modified Cook's distance for missing data imputation

This page was built for publication: Imputation for Missing Values and Corresponding Variance Estimation