- Tytuł:
- Jackknife winsorized variance estimator under imputed data
- Autorzy:
-
Sohil, Fariha
Sohail, Muhammad Umair
Shabbir, Javid
Gupta, Sat - Powiązania:
- https://bibliotekanauki.pl/articles/2106879.pdf
- Data publikacji:
- 2022-06-14
- Wydawca:
- Główny Urząd Statystyczny
- Tematy:
-
adjusted imputation
jackknife variance estimators
linearized jackknife
missing values
winsorized variance - Opis:
- 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.
- Źródło:
-
Statistics in Transition new series; 2022, 23, 2; 17-32
1234-7655 - Pojawia się w:
- Statistics in Transition new series
- Dostawca treści:
- Biblioteka Nauki
Artykuł