Bootstrap and other methods to measure errors in survey estimates

Canadian Journal of Statistics

Volumn 16, Issue 1 S, 1988, Pages 25-45

  Kovar, J G ^a   Rao, J N K ^b   Wu, C F J ^c  

^a STATISTICS CANADA   (Canada)

^b CARLETON UNIVERSITY   (Canada)

^c UNIVERSITY OF WATERLOO   (Canada)

Author keywords

balanced repeated replication; confidence intervals; Jackknife; medians; nonlinear statistics; stratified sampling; variance estimation

Indexed keywords

EID: 84988072876     PISSN: 03195724     EISSN: 1708945X     Source Type: Journal    
DOI: 10.2307/3315214     Document Type: Article

References (27)

1. Edgeworth corrected pivotal statistics and the bootstrap
2. On the variances of asymptotically normal estimators from complex surveys
3. Bootstrap methods: Another look at the jackknife
4. Better bootstrap confidence intervals
5. An evaluation of model‐dependent and probability‐sampling inferences in sample surveys
6. Practical methods for estimating survey sampling errors
7. Inference from complex samples (with discussion)
8. Inference from stratified samples: Properties of the linearization jackknife and balanced repeated replication methods
9. The jackknife—a review
10. Unbiased variance estimation for multistage designs
11. Some aspects of variance estimation in sample surveys
12. Variance estimation in sample surveys
13. Inference from stratified samples: Second order analysis of three methods for nonlinear statistics
14. Resampling inference with complex survey data
15. Variance estimation for complex estimators in sample surveys
16. Confidence intervals for medians and other position measures
17. A simple method of approximating the variance of a complicated estimate