A two-phase sampling strategy for large-scale forest carbon budgets

DOI10.1016/j.jspi.2008.06.014zbMath1156.62090OpenAlexW1974204983MaRDI QIDQ1007486

J. Martínez

Publication date: 20 March 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.06.014

zbMATH Keywords

double-expansion estimatorempirical inclusion probabilitiesPPS samplingunaligned systematic sampling

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Sampling theory, sample surveys (62D05)

Related Items (2)

An adaptive algorithm for estimating inclusion probabilities and performing the Horvitz-Thompson criterion in complex designs ⋮ Two-phase sampling strategies for design-based mapping of continuous spatial populations in environmental surveys

Cites Work

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• An elimination procedure for unequal probability sampling without replacement
• Unequal probability sampling without replacement through a splitting method
• Weighted finite population sampling to maximize entropy
• On the efficiency of monte carlo methods using steady state ranked simulated samples
• Model-Assisted Estimation of Forest Resources With Generalized Additive Models
• Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities
• Introduction to variance estimation

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