Relevant bibliographies by topics / Population Growth Model

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  1. Journal articles

Academic literature on the topic 'Population Growth Model'

Author: Grafiati
Published: 6 September 2023
Last updated: 12 June 2025

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Journal articles on the topic "Population Growth Model"

1

Awadalla, Muath, Yves Yannick Yameni Noupoue, and Kinda Abu Asbeh. "Psi-Caputo Logistic Population Growth Model." Journal of Mathematics 2021 (July 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/8634280.

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This article studies modeling of a population growth by logistic equation when the population carrying capacity K tends to infinity. Results are obtained using fractional calculus theories. A fractional derivative known as psi-Caputo plays a substantial role in the study. We proved existence and uniqueness of the solution to the problem using the psi-Caputo fractional derivative. The Chinese population, whose carrying capacity, K, tends to infinity, is used as evidence to prove that the proposed approach is appropriate and performs better than the usual logistic growth equation for a populatio
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2

T. Alkahtani, Badr Saad, Abdon Atangana, and Ilknur Koca. "New nonlinear model of population growth." PLOS ONE 12, no. 10 (2017): e0184728. http://dx.doi.org/10.1371/journal.pone.0184728.

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3

Montiel-Arzate, Elia, Hector Echavarrı́a-Heras, and Cecilia Leal-Ramı́rez. "A functionally diverse population growth model." Mathematical Biosciences 187, no. 1 (2004): 21–51. http://dx.doi.org/10.1016/j.mbs.2003.08.009.

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4

Rodin, E. Y., and R. T. Williams. "A matrix model of population growth." Mathematical and Computer Modelling 10, no. 4 (1988): 299–306. http://dx.doi.org/10.1016/0895-7177(88)90007-6.

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5

Vance, R. R., and E. A. Coddington. "A nonautonomous model of population growth." Journal of Mathematical Biology 27, no. 5 (1989): 491–506. http://dx.doi.org/10.1007/bf00288430.

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6

Mohamad Radzi, Nurul Ashikin, Haliza Abd Rahman, Shariffah Suhaila Syed Jamaludin, and Arifah Bahar. "Exponential Growth Model and Stochastic Population Models: A Comparison via Population Data." Malaysian Journal of Fundamental and Applied Sciences 18, no. 1 (2022): 60–69. http://dx.doi.org/10.11113/mjfas.v18n1.2402.

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A population dynamic model explains the changes of a population in the near future, given its current status and the environmental conditions that the population is exposed to. In modelling a population dynamic, deterministic model and stochastic models are used to describe and predict the observed population. For modelling population size deterministic model may provide sufficient biological understanding about the system, but if the population numbers do become small, then a stochastic model is necessary with certain conditions. In this study, both types of models such exponential, discrete-
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7

O. Aiyedogbon, John, Sarah O. Anyanwu, Grace Hezekiah Isa, Yuriy Petrushenko, and Olena Zhuravka. "Population growth and food security: Evidence from Nigeria." Problems and Perspectives in Management 20, no. 2 (2022): 402–10. http://dx.doi.org/10.21511/ppm.20(2).2022.33.

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The average agriculture output growth between 2011–2020, which stood at 3.5% against the backdrop of over 2.6% population growth rate, accounts for the present food insecurity, hunger, and malnutrition in Nigeria. The study aims to examine the impact of population growth on food security in Nigeria with data covering 1986–2020. The study employed two models: the first model analyzed agriculture output as a function of population growth rate. The second model examined the impact of population growth and agriculture productivity on economic growth. The Cochrane-Orcutt iterative method on an ordi
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8

Khodabin, Morteza, and Neda Kiaee. "Stochastic Dynamical Theta-Logistic Population Growth Model." SOP Transactions on Statistics and Analysis 2014, no. 3 (2014): 1–15. http://dx.doi.org/10.15764/stsa.2014.03001.

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9

Tiebout, Charles M. "COMMUNITY INCOME MULTIPLIERS: A POPULATION GROWTH MODEL‡." Journal of Regional Science 2, no. 1 (2006): 75–84. http://dx.doi.org/10.1111/j.1467-9787.1960.tb00836.x.

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10

Kajanovičová, Viktória, Branislav Novotný, and Michal Pospíšil. "Ramsey model with non-constant population growth." Mathematical Social Sciences 104 (March 2020): 40–46. http://dx.doi.org/10.1016/j.mathsocsci.2020.01.004.

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