Some Improved Classes of Estimators in Stratified Sampling Using Bivariate Auxiliary Information

Shashi Bhushan, Anoop Kumar, Ronald Onyango, Saurabh Singh and Alessandro Barbiero

Journal of Probability and Statistics, 2022, vol. 2022, 1-23

Abstract: This manuscript considers some improved combined and separate classes of estimators of population mean using bivariate auxiliary information under stratified simple random sampling. The expressions of bias and mean square error of the proposed classes of estimators are determined to the first order of approximation. It is exhibited that under some particular conditions, the proposed classes of estimators dominate the existing prominent estimators. The theoretical findings are supported by a simulation study performed over a hypothetically generated population.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/jps/2022/2660114.pdf (application/pdf)
http://downloads.hindawi.com/journals/jps/2022/2660114.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljps:2660114

DOI: 10.1155/2022/2660114

Access Statistics for this article

More articles in Journal of Probability and Statistics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().