Skip to Main Content
Comparing Mapped Plot EstimatorsAuthor(s): Paul C. Van Deusen
Source: In: Proceedings of the sixth annual forest inventory and analysis symposium; 2004 September 21-24; Denver, CO. Gen. Tech. Rep. WO-70. Washington, DC: U.S. Department of Agriculture Forest Service. 126p.
Publication Series: General Technical Report (GTR)
Station: Washington Office
PDF: View PDF (274.63 KB)
DescriptionTwo alternative derivations of estimators for mean and variance from mapped plots are compared by considering the models that support the estimators and by simulation. It turns out that both models lead to the same estimator for the mean but lead to very different variance estimators. The variance estimators based on the least valid model assumptions are shown to perform poorly in practice.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationVan Deusen, Paul C. 2006. Comparing Mapped Plot Estimators. In: Proceedings of the sixth annual forest inventory and analysis symposium; 2004 September 21-24; Denver, CO. Gen. Tech. Rep. WO-70. Washington, DC: U.S. Department of Agriculture Forest Service. 126p.
- Hybrid estimators for mean aboveground carbon per unit area
- A Proposal for Phase 4 of the Forest Inventory and Analysis Program
- Statistical properties of mean stand biomass estimators in a LIDAR-based double sampling forest survey design.
XML: View XML