Skip to Main Content
Simulation of design-unbiased point-to-particle sampling compared to alternatives on plantation rowsAuthor(s): Thomas B. Lynch; David Hamlin; Mark J. Ducey
Source: In:Proceedings of the 18th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-212. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 614 p.
Publication Series: General Technical Report (GTR)
Station: Southern Research Station
PDF: Download Publication (116.0 KB)
DescriptionTotal quantities of tree attributes can be estimated in plantations by sampling on plantation rows using several methods. At random sample points on a row, either fixed row lengths or variable row lengths with a fixed number of sample trees can be assessed. Ratio of means or mean of ratios estimators can be developed for the fixed number of trees option but are not designunbiased. Ducey’s estimator samples a fixed number of trees and is design-unbiased, as is sampling fixed row length. Simulations indicted that some of the ratio estimators could have substantial bias on rows containing large gaps, but for other ratio estimators bias was minimal in practical terms. Ducey’s method is unbiased but had a root mean square error slightly larger than some of the ratio estimators.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- 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.
CitationLynch, Thomas B.; Hamlin, David; Ducey, Mark J. 2016. Simulation of design-unbiased point-to-particle sampling compared to alternatives on plantation rows. In:Proceedings of the 18th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-212. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 2 p.
- Post-stratified estimation: with-in strata and total sample size recommendations
- Density estimation in wildlife surveys
- Comparison of estimation techniques for a forest inventory in which double sampling for stratification is used
XML: View XML