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Ratio-cum-product Type Estimators for Rare and Hidden Clustered Population
The use of multi-auxiliary variables helps in increasing the precision of the estimators, especially when the population is rare and hidden clustered. In this article, four ratio-cum-product type estimators have been proposed using two auxiliary variables under adaptive cluster sampling (ACS) design...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer India
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734625/ https://www.ncbi.nlm.nih.gov/pubmed/36532236 http://dx.doi.org/10.1007/s13571-022-00298-x |