On Hyperbolic Monomolecular Growth Model in Height/ Diameter Growth of PINES
Angela Unna Chukwu, Samuel Oluwafemi OYAMAKIN
Journal of Advances in Mathematics and Computer Science · pp. 320–327 · Published 30 May 2015
10.9734/BJMCS/2015/14141Abstract
This paper proposed a hyperbolic monomolecular growth model (HMMGM). The stabilizing parameter θ was introduced into the existing growth equations using a hyperbolic sine function given by. The reparametized equation namely, Hyperbolic Monomolecular Growth Equation, which was solved to obtain the proposed growth model. Residual errors were incorporated into the model additively and statistical tests of independence and normality of the error components was done. Pine data on height, Diameter and Age was used to test the comparative merits of the proposed model over its source model. The performance of the developed model based on data were tested in terms of general fitness and internal predictive status using model selection criteria like R-Square, Mean Square Error (MSE), and Akaike Information Criterion (AIC) among others.
Cited by 2
Janjira Piladaeng, S. Ejaz Ahmed, Supranee Lisawadi · Australian & New Zealand Journal of Statistics · 2022
Kai Moriguchi · Physica A: Statistical Mechanics and its Applications · 2018
Related research
- Diversity of Arbuscular Mycorrhizal Fungi in Oak-Pine Forests and Agricultural Land Prevalent in the Kumaon Himalayan Hills, Uttarakhand, India — shares topic coverage
- Phytodiversity of Herbaceous Vegetation in Disturbed and Undisturbed Forest Ecosystems of Pahalgam Valley, Kashmir Himalaya, India — shares topic coverage
- Analysis of Physico-chemical and Hydraulic Characteristics of Soil in Forest Area of Southwestern, Nigeria — shares topic coverage
- Active and Passive Soil Organic Carbon Pools as Affected by Different Land Use Patterns in Red Soils of Vikarabad District, Telangana, India — shares topic coverage
- Challenges and Opportunities for Restoring the Threatened Mangroves — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
2
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.