Inverse Adaptive Cluster Sampling

DOI10.1111/j.0006-341X.2001.01096.xzbMath1209.62184WikidataQ53675817 ScholiaQ53675817MaRDI QIDQ3078867

Mary C. Christman, Feng Lan

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

unbiased estimationstopping rulesadaptive samplingrare clustered populationssequential sampling designs

Mathematics Subject Classification ID

Sequential statistical analysis (62L10) Estimation in survival analysis and censored data (62N02) Optimal stopping in statistics (62L15)

Related Items (12)

Adaptive Web Sampling ⋮ Two stage inverse adaptive cluster sampling with stopping rule depends upon the size of cluster ⋮ k-step adaptive cluster sampling with Horvitz–Thompson estimator ⋮ Testing the rate ratio under inverse sampling based on gradient statistic ⋮ Adaptive survey designs for sampling rare and clustered populations ⋮ Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity ⋮ Multiple inverse sampling in post-stratification with subpopulation sizes unknown: a solution for quota sampling ⋮ Inverse Sampling with Unequal Selection Probabilities ⋮ Adaptive Cluster Sampling in Two-stage Sampling ⋮ Designing sampling plans to capture rare objects ⋮ Adaptive web sampling in ecology ⋮ Adaptive cluster sampling with a data driven stopping rule

Cites Work

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• Adaptive Cluster Sampling
• A variance bound for unbiased estimation in inverse sampling

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