Inverse Adaptive Cluster Sampling with Unequal Selection Probabilities: Case Studies on Crab Holes and Arsenic Pollution

DOI10.1111/anzs.12118zbMath1336.62026OpenAlexW1913043124WikidataQ126124685 ScholiaQ126124685MaRDI QIDQ2804153

Jassim A. al Khayat, Mohammad Hassan Moradi, Adil Yousif, Jennifer Anne Brown, Mohammad Mahdi Salehi

Publication date: 28 April 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12118

zbMATH Keywords

sampling without replacementMurthy's estimatorRaj's estimatorrare and clustered population

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12)

Uses Software

• R

Cites Work

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• Adaptive sampling designs. Inference for sparse and clustered populations.
• Adaptive Cluster Sampling
• Some Estimators in Sampling with Varying Probabilities without Replacement
• Inverse Sampling with Unequal Selection Probabilities
• On inverse sampling with unequal probabilities
• Methods of cluster sampling with and without replacement for clusters of unequal sizes
• ON A METHOD OF ESTIMATING FREQUENCIES

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