Modeling in Forestry Using Mixture Models Fitted to Grouped and Ungrouped Data

Modeling in Forestry Using Mixture Models Fitted to Grouped and Ungrouped Data

The creation and maintenance of complex forest structures has become an important forestry objective. Complex forest structures, often expressed in multimodal shapes of tree size/diameter (DBH) distributions, are challenging to model. Mixture probability density functions of two- or three-component...

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Bibliographic Details
Main Authors: Eric K. Zenner, Mahdi Teimouri
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Forests
Subjects:
complexity
diameter (DBH) distribution
estimation-maximization (EM) algorithm
forest structure
gamma
log-normal
Online Access:https://www.mdpi.com/1999-4907/12/9/1196

Internet

https://www.mdpi.com/1999-4907/12/9/1196

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