Skip to main content

Analysis of Multiple Systematic Remeasurements

Buy Article:

$29.50 plus tax (Refund Policy)

The successive remeasurement of trees and plots is common practice in forestry research. But the usual regression techniques are not generally suitable for deriving prediction equations, variances, and tests of hypotheses from systematic remeasurement data. Assuming a model of the form: u = a + Bx, an analytical method is proposed based upon the fact that each experimental unit (plot) provides estimates of a and B. Thus, the variances of these estimates may be calculated directly; and the variance of estimated u may be considered as a linear combination of variances and covariances. The method is easily extended to the case of two or more independent variables.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Journal Article

Affiliations: Silviculturist, Northeastern Forest Expt. Sta., Forest Service, U. S. Dept. Agric, Upper Darby, Pa.

Publication date: 1966-03-01

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