Sample-Plot Size and Diameter Moments/Percentiles Prediction Model Effects on Stand Diameter Distribution Recovery Accuracy
<p>There have been several studies that aim to determine the most superior Weibull parameter recovery approach of specifying a given forest stands Weibull diameter distribution, but no consensus has been made. The lack of agreement could be attributed to studies using different moments/percent...
Main Author: | Bankston, Josh B. |
---|---|
Other Authors: | Stephen C. Grado |
Format: | Others |
Language: | en |
Published: |
MSSTATE
2019
|
Subjects: | |
Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-03182019-100835/ |
Similar Items
-
Compatible whole-stand and diameter distribution models for loblolly pine plantations
by: Frazier, James R.
Published: (2019) -
Modelling percentile based basal area weighted diameter distribution
by: Kangas, Annika, et al.
Published: (2007-01-01) -
Performance of percentile based diameter distribution prediction and Weibull method in independent data sets
by: Kangas, Annika, et al.
Published: (2000-01-01) -
An investigation of a bivariate distribution approach to modeling diameter distributions at two points in time
by: Knoebel, Bruce R.
Published: (2015) -
Effect of upper stem diameter and errors of measurement on the accuracy of volume equations
by: Fonweban, John Ngong, et al.
Published: (2014)