If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Quantifying Diameter Distributions with the Weibull Function

$29.50 plus tax (Refund Policy)

Buy Article:

Abstract:

The Weibull probability density function is proposed as a diameter distribution model. Its advantages include flexibility in shape and simplicity of mathematical derivations. Estimation and interpretation of parameters are discussed and illustrated with published data. Forest Sci. 19:97-104.

Keywords: Exponential distribution; maximum likelihood; percenttiles; point individual distance; simulation

Document Type: Journal Article

Affiliations: Mathematical Statistician, Southern Forest Experiment Station, USDA Forest Service, New Orleans, La.

Publication date: June 1, 1973

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