Skip to main content

Effect of Database Length and Weights on Transactions Evidence Timber Appraisal Models

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

Although transaction evidence appraisal (TEA) is used extensively for timber appraisal throughout the West, the effect of database length and weighing of data has been largely ignored. This paper investigates how 1-, 2-, and 3-yr model-building database lengths, with equal, biannual, quarterly, and monthly weighing schemes effect TEA prediction accuracy and responsiveness. Accuracy was measured by the "average absolute error" of predicted stumpage value from actual stumpage value. Visual inspection of the prediction trajectory served to evaluate responsiveness to market changes. Results indicate that quarterly and monthly weighing and 1-yr database length improved statistical prediction accuracy, and 1-yr database length and monthly weighing proved most responsive. West. J. Appl. For. 9(2): 71-76.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Document Type: Journal Article

Affiliations: Intermountain Research Station, USDA Forest Service, Missoula, MT 59807

Publication date: 01 July 1994

  • 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
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