The Use of Ordinal Response Methodology in Forestry
Abstract:Ordinal regression techniques are introduced as a means to achieve multiple data analytical goals such as data smoothing for subsequent model derivation and prediction of response distributions conditional on some measurable covariates. Their usefulness to address some pertinent problems in forest biometry are discussed. For. Sci. 41(2):321-336.
Document Type: Journal Article
Affiliations: Graduate Student, Department of Forestry, Section Forest Biometrics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0324
Publication date: 1995-05-01
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.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
Also published by SAF:
Journal of Forestry
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