Jackknife winsorized variance estimator under imputed data.

Autor: Sohil, Fariha, Sohail, Muhammad Umair, Shabbir, Javid, Gupta, Sat
Předmět:
Zdroj: Statistics in Transition. New Series; Jun2022, Vol. 23 Issue 2, p17-32, 16p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index