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Conditioning post-stratified inference following two-stage, equal-probability sampling
Timothy Gregoire and 3 other contributors
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Citation
Gregoire, T. ., Ringvall, A. ., Stahl, G. ., & Naesset, E. . (2016). Conditioning post-stratified inference following two-stage, equal-probability sampling. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 23(1), 141-154. https://doi.org/10.1007/s10651-015-0332-9 (Original work published 2024)
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Abstract
This paper considers conditioning on the size of the samples observed in post-strata following a two-stage sampling design. We argue that it is reasonable to do so despite the complexity of the design. We derive an expression for the covariances among post-strata estimates resulting from secondary sampling units on the same primary sampling unit which reside in different post-strata. To motivate both issues we describe a two-stage LiDAR-assisted sample for aboveground biomass that was reported in Gregoire et al. (Can J For Res 41: 83-95, 2011).