Skip to main content

Adjusted jackknife for imputation under unequal probability sampling without replacement

Buy Article:

$43.00 plus tax (Refund Policy)


Imputation is commonly used to compensate for item non-response in sample surveys. If we treat the imputed values as if they are true values, and then compute the variance estimates by using standard methods, such as the jackknife, we can seriously underestimate the true variances. We propose a modified jackknife variance estimator which is defined for any without-replacement unequal probability sampling design in the presence of imputation and non-negligible sampling fraction. Mean, ratio and random-imputation methods will be considered. The practical advantage of the method proposed is its breadth of applicability.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Adjusted imputed values; Consistency; Finite population; Inclusion probabilities; Item non-response; Pseudovalues

Document Type: Research Article

Affiliations: 1: University of Reading, UK 2: Carleton University, Ottawa, Canada

Publication date: 2006-06-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more