- Author
- Sohil Fariha (The Women University, Multan, Pakistan), Sohail Muhammad Umair (University of Narowal, Narowal, Pakistan), Shabbir Javid (Quaid-i-Azam University, Islamabad, Pakistan), Gupta Sat (University of North Carolina, USA)
- Title
- Jackknife Winsorized Variance Estimator under Imputed Data
- Source
- Statistics in Transition, 2022, vol. 23, nr 2, s. 17-32, tab., wykr., bibliogr. 21 poz.
- Keyword
- Estymacja, Estymatory, Analiza wariancji
Estimation, Estimators, Variance analysis - Note
- summ.
2000 AMS Classification: 62D05 - 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. (original abstract)
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice - Full text
- Show
- Bibliography
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- Cited by
- ISSN
- 1234-7655
- Language
- eng
- URI / DOI
- http://dx.doi.org/10.2478/stattrans-2022-0014