© Fariha Sohil, Muhammad Umair Sohail, Javid Shabbir, Sat Gupta. Article available under the CC BY-SA 4.0
ARTICLE
ABSTRACT
In the present study, we consider the problem of missing and extreme values for the estimation of population variance. The presence of extreme values either in the study variable, or the auxiliary variable, or in both of them, can adversely affect the performance of the estimation procedure. We consider three different situations for the presence of extreme values and also consider jackknife variance estimators for the population variance by handling these extreme values under stratified random sampling. Bootstrap technique ABB is carried out to understand the relative relationship more precisely.
KEYWORDS
adjusted imputation, jackknife variance estimators, linearized jackknife, missing values, winsorized variance
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