Statistical Analysis of the Ordering of Diseased and Healthy Trees in a Transect
Abstract:A stochastic model developed by E. C. Pielou permits estimation of the proportion of a forested area that is infected with a given disease when available data consist of the ordering of diseased and healthy trees appearing in randomly placed, narrow belt transects. The infected areas are assumed to contain both diseased and healthy trees, and the model also permits estimation of the proportion of infected trees within the infected areas. Previously published implicit estimation equations are now replaced by explicit estimation formulas and standard errors, along with simplified computations for testing goodness of fit to the assumed model. Forest Sci. 18:87-92.
Keywords: Stochastic model
Document Type: Journal Article
Affiliations: Member of the Biometrics and Computer Science Branch, Dep. of the Environment, Ottawa.
Publication date: 1972-03-01
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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.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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