Jackknife winsorized variance estimator under imputed data-Reference-Cited by-同舟云学术

Jackknife winsorized variance estimator under imputed data

Published:2022-06-01 Issue:2 Volume:23 Page:17-32
ISSN:2450-0291
Container-title:Statistics in Transition New Series
language:en
Short-container-title:

Author:

Sohil Fariha¹,Sohail Muhammad Umair²^ORCID,Shabbir Javid³^ORCID,Gupta Sat⁴

Affiliation:

1. Department of Education , The Women University , Multan , Pakistan .

2. Department of Statistics , University of Narowal , Narowal , Pakistan .

3. Department of Statistics , Quaid-i-Azam University , Islamabad , Pakistan .

4. Department of Mathematics and Statistics , University of North Carolina , Greensboro , USA .

Abstract

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.

Publisher

Polskie Towarzystwo Statystyczne

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.sciendo.com/pdf/10.2478/stattrans-2022-0014

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