A simulation study: Using dual ancillary variable to estimate population mean under stratified random sampling

In this paper, we propose an improved ratio-in-regression type estimator for the finite population mean under stratified random sampling, by using the ancillary varaible as well as rank of the ancillary varaible. Expressions of the bias and mean square error of the estimators are derived up to the f...

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Detalles Bibliográficos
Autores principales: Ahmad, Sohaib, Hussain, Sardar, Yasmeen, Uzma, Aamir, Muhammad, Shabbir, Javid, El-Morshedy, M., Al-Bossly, Afrah, Ahmad, Zubair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704651/
https://www.ncbi.nlm.nih.gov/pubmed/36441763
http://dx.doi.org/10.1371/journal.pone.0275875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704651/
https://www.ncbi.nlm.nih.gov/pubmed/36441763
http://dx.doi.org/10.1371/journal.pone.0275875

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