Multiplicative Regression with Lognormal Errors

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The relevance of the lognormal distribution to the biological growth process is discussed, and the major attributes of this distribution are reviewed. Multiplicative regression models with lognormal errors, which are often used in biomass estimation studies, are reviewed and a number of estimators are compared in terms of their simplicity, bias, and mean square error. Recommendations are made as to which of these properties are to receive greater weight depending on the intended use of the regression equations and characteristics of the sample data. Forest Sci. 281-289.

Keywords: Logarithmic transformation; allometry; biomass estimation

Document Type: Journal Article

Affiliations: Associate Professor, School of Forest Resources, University of Georgia, Athens, GA 30602

Publication date: June 1, 1981

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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.
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