Skip to main content

Predicting Mortality with a Weibull Distribution

Buy Article:

$29.50 plus tax (Refund Policy)

The Weibull distribution is presented as a flexible model of survival in even-aged stands. The data necessary for both the complete and censored Weibull distribution and their applications are discussed. A case study is presented using the Weibull distribution to model survival in even-aged stands of loblolly pine from ages 3 to 14. Within the limitations of the data an adequate model was obtained. Forest Sci. 26:291-300.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: Loblolly pine; mortality prediction

Document Type: Journal Article

Affiliations: Principal Silviculturist for the U.S.D.A. Forest Service Southeastern Forest Experiment Station, Forestry Sciences Laboratory, Charleston, SC 29407

Publication date: 1980-06-01

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.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
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