THE APPLICATION OF GOMPERTZ, EXPONENTIAL, AND POLYNOMIAL FUNCTIONS IN DESCRIBING THE GROWTH OF FOREST TREES.
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Several non-linear models have been proposed by various authors for the analysis of growth data. In this thesis, three models, viz, Gompertz, Exponential and Polynomial models were used to analyze some forestry data, namely, a tree species known as Tectona Grandis, collected in the Guinea savanna zone of Nigeria. The three models were compared and using the criteria of low mean square error and high coefficient of determination, it was found that the Gompertz model fits the data best, especially considering the relationships of height on age and total volume on age.
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APA
(2026). THE APPLICATION OF GOMPERTZ, EXPONENTIAL, AND POLYNOMIAL FUNCTIONS IN DESCRIBING THE GROWTH OF FOREST TREES.. Afribary. Retrieved June 14, 2026, from http://library.afribary.com/works/the-application-of-gompertz-exponential-and-polynomial-functions-in-describing-the-growth-of-forest-trees
MLA
"THE APPLICATION OF GOMPERTZ, EXPONENTIAL, AND POLYNOMIAL FUNCTIONS IN DESCRIBING THE GROWTH OF FOREST TREES.." Afribary, 6 Jun. 2026, http://library.afribary.com/works/the-application-of-gompertz-exponential-and-polynomial-functions-in-describing-the-growth-of-forest-trees. Accessed June 14, 2026.
Chicago
"THE APPLICATION OF GOMPERTZ, EXPONENTIAL, AND POLYNOMIAL FUNCTIONS IN DESCRIBING THE GROWTH OF FOREST TREES.." Afribary (2026). Accessed June 14, 2026. http://library.afribary.com/works/the-application-of-gompertz-exponential-and-polynomial-functions-in-describing-the-growth-of-forest-trees