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03- Journal of Statistics Applications & Probability
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Vol. 10 > No. 1

 
   

Population Growth Modeling via Rayleigh-Caputo Fractional Derivative

PP: 11-16
doi:10.18576/jsap/100102
Author(s)
Muath Awadalla, Yves Yannick Yameni Noupoue, Kinda Abuasbeh,
Abstract
This article is concerned with the prediction of population growth using the logistic growth model in the case when the carrying capacity K for the population tends to infinity. A new fractional approach is introduced based on so what called “Rayleigh distribution”. This approach produces a minimal error in estimation compared to the logistic growth model. In this paper, it is shown that the classical logistic model is not appropriate when the carrying capacity K tends to infinity, like for the Indian or Chinese population for instance. A fractional model that would be appropriate in such a case is proposed.

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