Ratio-cum-product type estimators for rare and hidden clustered population

DOI10.1007/S13571-022-00298-XOpenAlexW4311888330MaRDI QIDQ6102197

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Publication date: 8 May 2023

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-022-00298-x

zbMATH Keywords

ratio estimatorregression estimatoradaptive cluster samplingcombining estimatorsproduct estimatorCOVID-19

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistics (62-XX)

Cites Work

• Two stage inverse adaptive cluster sampling with stopping rule depends upon the size of cluster
• Ratio cum product method of estimation
• Adaptive Cluster Sampling
• On a Method of Using Multi-Auxiliary Information in Sample Surveys
• On the Theory of Sampling from Finite Populations
• Generalized Exponential-Cum-Exponential Estimator in Adaptive Cluster Sampling

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