Analysis of Multiple Systematic Remeasurements
The successive remeasurement of trees and plots is common practice in forestry research. But the usual regression techniques are not generally suitable for deriving prediction equations, variances, and tests of hypotheses from systematic remeasurement data. Assuming a model of the form: u = a + Bx, an analytical method is proposed based upon the fact that each experimental unit (plot) provides estimates of a and B. Thus, the variances of these estimates may be calculated directly; and the variance of estimated u may be considered as a linear combination of variances and covariances. The method is easily extended to the case of two or more independent variables.
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Document Type: Journal Article
Affiliations: Silviculturist, Northeastern Forest Expt. Sta., Forest Service, U. S. Dept. Agric, Upper Darby, Pa.
Publication date: 1966-03-01
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2016 Impact Factor: 1.782 (Rank 17/64 in forestry)
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June 1, 2016 to Feb. 28, 2017
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