Jackknife winsorized variance estimator under imputed data

Abstract In the present study, we consider problem of missing and extreme values for estimation population variance. The presence either in study variable, or auxiliary both them, can adversely affect performance procedure. We three different situations also jackknife variance estimators by handling these under stratified random sampling. Bootstrap technique ABB is carried out to understand relative relationship more precisely.