Jackknife variance estimator with reimputation for randomly imputed survey data

H. Saigo, R. R. Sitter

Research output: Contribution to journalArticle

Abstract

Reimputing after each deletion of a unit in the jackknife is known to lead to inconsistent variance estimators in the presence of random imputation in complex surveys. We use rescaling to adjust the reimputation and show that the resulting variance estimator performs somewhat better than the adjusted jackknife variance estimator.

Original languageEnglish
Pages (from-to)321-331
Number of pages11
JournalStatistics and Probability Letters
Volume73
Issue number3
DOIs
Publication statusPublished - 2005 Jul 1

Keywords

  • Hotdeck
  • Ratio imputation
  • Regression imputation
  • Resampling

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'Jackknife variance estimator with reimputation for randomly imputed survey data'. Together they form a unique fingerprint.

  • Cite this