Skip to Main Content
Evaluation of weighted regression and sample size in developing a taper model for loblolly pineAuthor(s): Kenneth L. Cormier; Robin M. Reich; Raymond L. Czaplewski; William A. Bechtold
Source: Forest Ecology and Management. 53: 65-76.
Publication Series: Scientific Journal (JRNL)
Station: Southern Research Station
PDF: Download Publication (583.06 KB)
DescriptionA stem profile model, fit using pseudo-likelihood weighted regression, was used to estimate merchantable volume of loblolly pine (Pinus taeda L.) in the southeast. The weighted regression increased model fit marginally, but did not substantially increase model performance. In all cases, the unweighted regression models performed as well as the weighted regression models, even for very small sample sizes.
- You may send email to email@example.com 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.
CitationCormier, Kenneth L.; Reich, Robin M.; Czaplewski, Raymond L.; Bechtold, William A. 1992. Evaluation of weighted regression and sample size in developing a taper model for loblolly pine. Forest Ecology and Management. 53: 65-76.
- A comparison of pine height models for the Crossett Experimental Forest
- Behavior and sensitivity of an optimal tree diameter growth model under data uncertainty
- New methods for estimating parameters of weibull functions to characterize future diameter distributions in forest stands
XML: View XML