Sampling strategies to estimate deer density by drive counts

DOI10.1007/s13253-020-00386-3OpenAlexW3007528399MaRDI QIDQ2209856

Alberto Meriggi, Paolo Varuzza, Enrico Merli, Lorenzo Fattorini

Publication date: 5 November 2020

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-020-00386-3

zbMATH Keywords

Monte Carlo simulationsratio estimatorHorvitz-Thompson estimatorspatial samplingdesign-based inference

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

• Spatially Balanced Sampling through the Pivotal Method
• Spatially correlated Poisson sampling
• Model assisted survey sampling
• Efficient balanced sampling: The cube method
• Spatially Balanced Sampling of Natural Resources
• Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities
• Introduction to variance estimation
• Doubly balanced spatial sampling with spreading and restitution of auxiliary totals

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