Skip to main content

Notes: Fitting Assumed Distributions to Horizontal Point Sample Diameters

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

The theory is developed for fitting assumed distributions, such as the Weibull, to diameters which were derived from horizontal point samples. The method of maximum likelihood and the method of moments are discussed briefly as two ways of doing this. The results make it possible to fit assumed distributions to horizontal point data for such uses as providing growth and yield estimates by diameter class. Forest Sci. 32:146-148.

Keywords: Maximum likelihood; moments; random sampling

Document Type: Miscellaneous

Affiliations: Mathematical Statistician at the Southern Forest Experiment Station, Room T-10210 U.S. Postal Service Building, 701 Loyola Avenue, New Orleans, LA 70113

Publication date: March 1, 1986

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
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites
saf/fs/1986/00000032/00000001/art00022
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

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
Ingenta Connect 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