logistic growth

logistic growth

[lə′jis·tik ′grōth]
(biology)
Population growth in which the growth rate decreases with increasing number of individuals until it becomes zero when the population reaches a maximum.
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In order to fit a best logistic growth curve and predict the future of natural gas production, the best possible calculation of ultimate reserves is essential.
According to this criterion, the logistic growth model best described the growth of P.
In doing so, the paper attempts to trace the development trajectories based on logistic growth function considering technology stock and economic growth in three most government owned performing firms in R&D; Perusahaan Otomobil National (Proton), Tenaga Nasional Bhd (TNB) and Golden Hope Plantations.
Examples of topics discussed include coding theory, modeling of space travel, the statistics of political polls and surveys, models for logistic growth processes, illustrating geometric concepts using rugby and snooker, and digital images.
Finally, the fourth type of curve is the logistic growth law, the most common sigmoid type curve and a relationship, which has played a prominent part in the study of the growth of human populations.
Deviation from idealized exponential or logistic growth patterns indicate some change in conditions that limit or promote growth.
The logistic growth is a characteristic feature not only with respect to capital but, actually, to any population whose rate of growth is proportional to their size.
Analysis of our moose population growth rates and population responses of other hunted species indicated that all species with logistic growth rates (density dependent) are regulated by common internal (population) mechanisms.
The logistic growth model is useful for demonstrating the effects of density-dependent mechanisms in population growth.
Logistic growth models can give insights into claims by researchers and infection control professionals where significant treatment or intervention effects were observed on experimental or observational studies or in reports from the field.
5 days faster than body mass using the inverse Gompertz and logistic growth equations, respectively.
e) [alpha] measures the extent of deviation of S-shaped dynamics from the classic logistic growth curve.

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