Multiplicative Regression with Lognormal Errors

$29.50 plus tax (Refund Policy)

Buy Article:

Abstract:

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

More about this publication?
  • 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.
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more