Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/236751 
Year of Publication: 
2020
Citation: 
[Journal:] Statistics in Transition New Series [ISSN:] 2450-0291 [Volume:] 21 [Issue:] 1 [Publisher:] Exeley [Place:] New York [Year:] 2020 [Pages:] 1-12
Publisher: 
Exeley, New York
Abstract: 
This paper addresses the problem of an alternative approach to estimating the population mean of the study variable with the help of the auxiliary variable under stratified random sampling. The properties of the suggested estimator have been studied under large sample approximation. It has been demonstrated that the suggested estimator is more efficient than other considered estimators. To judge the merits of the proposed estimator, an empirical study has been carried out to support the present study.
Subjects: 
Study variable
auxiliary variable
stratified random sampling
dual to ratio estimator
bias and mean squared error
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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