Skip to Main Content
A comparison of two estimates of standard error for a ratio-of-means estimator for a mapped-plot sample design in southeast Alaska.Author(s): Willem W.S. van Hees
Source: Res. Note PNW-RN-532. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 12 p
Publication Series: Research Note (RN)
Station: Pacific Northwest Research Station
Download Publication (52 KB)
DescriptionComparisons of estimated standard error for a ratio-of-means (ROM) estimator are presented for forest resource inventories conducted in southeast Alaska between 1995 and 2000. Estimated standard errors for the ROM were generated by using a traditional variance estimator and also approximated by bootstrap methods. Estimates of standard error generated by both traditional and bootstrap methods were similar. Percentage differences between the traditional and bootstrap estimates of standard error for productive forest acres and for gross cubic-foot growth were generally greater than respective differences for nonproductive forest acres, net cubic volume, or nonforest acres.
- Visit PNW's Publication Request Page to request a hard copy of this publication.
- 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 Hees, Willem W.S. 2002. A comparison of two estimates of standard error for a ratio-of-means estimator for a mapped-plot sample design in southeast Alaska. Res. Note PNW-RN-532. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 12 p
KeywordsSampling, inventory (forest), error estimation
- Sample sizes to control error estimates in determining soil bulk density in California forest soils
- Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data
- Reliability of confidence intervals calculated by bootstrap and classical methods using the FIA 1-ha plot design
XML: View XML