Multiple regression models of the volumetric stem biomass

Noraini Abdullah and Zainodin Hj. Jubok (2008) Multiple regression models of the volumetric stem biomass. WSEAS Transactions on Mathematics, 7 (7). pp. 492-502. ISSN 1109-2769


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The development of a simple model was presented for obtaining the volumetric stem biomass of a tropical tree species. To model the volumetric stem biomass, Cinnamomum of family Lauracea was chosen. Mensuration data were collected based on two volumetric equations, namely, the Huber's and Newton's equations. During data collection, the variables considered were height of stem or trunk, height of tree, diameter at breast height, diameter at middle and diameter at top of the stem before the crown. Possible variables with their interactions were screened with spearman correlation tests and values greater than 0.95 were selected. The best model was determined using the process of eight selection criteria (8SC). However, the best model was found to be in the form of multiple regressions (MR) up to the fourth order interactions.

Item Type: Article
Uncontrolled Keywords: Best model, Correlation tests, Interactions, Multiple regression, Selection criteria, Stem volume, Volumetric equtions
Subjects: S Agriculture > SD Forestry > SD1-669.5 Forestry > SD131-247.5 History of forestry. Forest conditions
Divisions: SCHOOL > School of Science and Technology
Depositing User: ADMIN ADMIN
Date Deposited: 04 Apr 2011 14:59
Last Modified: 13 Oct 2017 11:40

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