Inventory implications of using sampling variances in estimation of growth model coefficients

Albert R. Stage; William R. Wykoff

Treesearch

Inventory implications of using sampling variances in estimation of growth model coefficients

Informally Refereed

Authors:

Albert R. Stage, William R. Wykoff

Year:

2000

Type:

General Technical Report

Station:

Northern Research Station

Source:

In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 587-595.

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Abstract

Variables based on stand densities or stocking have sampling errors that depend on the relation of tree size to plot size and on the spatial structure of the population, ignoring the sampling errors of such variables, which include most measures of competition used in both distance-dependent and distance-independent growth models, can bias the predictions obtained from regression analysis.

Parent Publication

Integrated tools for natural resources inventories in the 21st century

Citation

Stage, Albert R.; Wykoff, William R. 2000. Inventory implications of using sampling variances in estimation of growth model coefficients. In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 587-595.