Generalized Variance Function Applications in Forestry

James Alegria; Charles Scott; Charles Scott

doi:10.2737/NE-RN-345

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Generalized Variance Function Applications in Forestry

Informally Refereed

Authors:

James Alegria, Charles Scott, Charles Scott

Year:

1991

Type:

Research Note

Station:

Northern Research Station

DOI:

https://doi.org/10.2737/NE-RN-345

Source:

Res. Note NE-345. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 4 p.

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Download (PDF 198 KB): https://research.fs.usda.gov/download/treesearch/21580.pdf

Abstract

Adequately predicting the sampling errors of tabular data can reduce printing costs by eliminating the need to publish separate sampling error tables. Two generalized variance functions (GVFs) found in the literature and three GVFs derived for this study were evaluated for their ability to predict the sampling error of tabular forestry estimates. The recommended GVFs for most tables are either a GVF which incorporated the sampling errors of the row and column totals or a nonlinear GVF when the sampling errors are not published. Tables composed with one sampling intensity and containing data from a multinomial distribution can be represented by a simple linear estimator.

Citation

Alegria, James; Scott, Charles T. 1991. Generalized Variance Function Applications in Forestry. Res. Note NE-345. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 4 p.