Design-consistent model-based variances with systematic sampling: a case study with the Danish national Forest inventory

DOI10.1080/03610918.2018.1547401zbMath1489.62031OpenAlexW2915687212MaRDI QIDQ5083958

Thomas Nord-Larsen, Steen Magnussen

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1547401

zbMATH Keywords

simple random samplingspatial balanceanticipated varianceaboveground biomassanticipated valuewood volume

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

• Spatially Balanced Sampling through the Pivotal Method
• Model assisted survey sampling
• An introduction to copulas. Properties and applications
• An extension of the Horvitz-Thompson theorem to point sampling from a continuous universe
• A new class of unbiased estimators of the variance of the systematic sample mean
• Variance Estimation for Systematic Designs in Spatial Surveys
• Model-Based Non-parametric Variance Estimation for Systematic Sampling
• Sampling Statistics
• Variance Function Estimation
• Survey Design Under the Regression Superpopulation Model
• Sampling Techniques for Forest Inventories
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
• Introduction to variance estimation
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