Annual design-based estimation for the annualized inventories of forest inventory and analysis: sample size determination

Hans T. Schreuder; Jin-Mann S. Lin; John Teply

doi:10.2737/RMRS-GTR-66

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Annual design-based estimation for the annualized inventories of forest inventory and analysis: sample size determination

Informally Refereed

Authors:

Hans T. Schreuder, Jin-Mann S. Lin, John Teply

Year:

2000

Type:

General Technical Report

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.2737/RMRS-GTR-66

Source:

Gen. Tech. Rep. RMRS-GTR-66. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 3 p.

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Download (PDF 116 KB): https://research.fs.usda.gov/download/treesearch/29145.pdf

Abstract

The Forest Inventory and Analysis units in the USDA Forest Service have been mandated by Congress to go to an annualized inventory where a certain percentage of plots, say 20 percent, will be measured in each State each year. Although this will result in an annual sample size that will be too small for reliable inference for many areas, it is a sufficiently large sample to draw annual inferences for large areas in terms of what is there and how much has changed on an annual basis. This is extremely useful in estimating the state of the forest in the country over time in terms of health, timber supply, and so forth.

Keywords

reliable probabilistic estimation, sample size determination, area required, key parameters

Citation

Schreuder, Hans T.; Lin, Jin-Mann S.; Teply, John. 2000. Annual design-based estimation for the annualized inventories of forest inventory and analysis: sample size determination. Gen. Tech. Rep. RMRS-GTR-66. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 3 p.