Estimation of finite population variance using bootstrap

Consider a finite population from which the stratified sample with simple random sample without replacement in each strata is drawn. The finite population parameter of interest is variance. There are viewed three estimators of variance and are shown that two estimators are unbiased and one estimator has a bias which is estimated. We studied five bootstrap methods, the naive bootstrap, the rescaling bootstrap, the mirror-match bootstrap, the without-replacement bootstrap and the with-replacement bootstrap for variance estimation of estimator of variance. In comparison, there is used approximation variance formula of variance which is derived special for stratified samples. Our purpose was to compare the result of the bootstrap methods with each other and with the result from the approximation variance formula