Skip to Main Content
Composite estimators for growth derived from repeated plot measurements of positively-asymmetric interval lengthsAuthor(s): Francis Roesch
Publication Series: Scientific Journal (JRNL)
Station: Southern Research Station
View PDF (3.0 MB)
DescriptionThe statistical properties of candidate methods to adjust for the bias in growth estimates obtained from observations on increasing interval lengths are compared and contrasted against a standard set of estimands. This standard set of estimands is offered here as a solution to a varying set of user expectations that can arise from the jargon surrounding a particular data aggregation procedure developed within the USDA’s Forest Inventory and Analysis Program, specifically the term “average annual” growth. The definition of a standard set of estimands also allows estimators to be defined and the statistical properties of those estimators to be evaluated. The estimators are evaluated in a simulation for their effectiveness in the presence of a simple distribution of positively-asymmetric measurement intervals, such as what might arise subsequent to a reduction in budget being applied to a national forest inventory.
- 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.
CitationRoesch, Francis. 2018. Composite estimators for growth derived from repeated plot measurements of positively-asymmetric interval lengths. Forests. 9(7): 427-445. 19 p. https://doi.org/10.3390/f9070427.
KeywordsNational Forest Inventories, simulation, average annual growth
- Conducting tests for statistically significant differences using forest inventory data
- A Comparison of Several Techniques For Estimating The Average Volume Per Acre For Multipanel Data With Missing Panels
- Statistical inference for remote sensing-based estimates of net deforestation
XML: View XML