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Jackknife Variance Estimation for Two Samples after Imputation under Two-Phase Sampling
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kim, Jong-Min Anderson, Jon E. |
| Copyright Year | 2002 |
| Abstract | We propose a jackknife variance estimator for the population average from two, two-phase samples after imputation. The jackknife method has long been used to estimate and reduce bias, but has now become a valuable tool for variance estimation. We apply two different sampling methods, (simple random sampling and stratified random sampling) to derive jackknife variance estimators for the twosample case after imputation under two-phase sampling. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.amstat.org/sections/srms/Proceedings/y2004/files/Jsm2004-000287.pdf |
| Alternate Webpage(s) | http://cda.mrs.umn.edu/~jongmink/2004JSM-Kim-Anderson-slides.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |