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Miranda, L.C.M. and Lima, C.A.S. (2010) On the Logistic Modeling and Forecasting of Evolutionary Processes: Application to Human Population Dynamics. Technological Forecasting and Social Change, 77, 699-711.
https://doi.org/10.1016/j.techfore.2010.01.006

has been cited by the following article:

• TITLE: Comparative Study of the Malthusian Population Model and the Logistic Population Model for Bangladesh

  AUTHORS: Md. Showkat Akber, Khandoker Nasrin Ismet Ara, Md. Sabbir Alam

  KEYWORDS: Malthusian Population Model, Logistic Population Model, Population Growth, Carrying Capacity

  JOURNAL NAME: Applied Mathematics, Vol.16 No.2, February 14, 2025

  ABSTRACT: Bangladesh has a denser population in comparison with many other countries. Though the rate of population increase has been regarded as a concerning issue, estimation of the population instability in the upcoming years may be useful for national planning. To predict Bangladesh’s future population, this study compares the estimated populations of two popular population models, the Malthusian and the logistic population models, with the country’s census population published by BBS. We also tried to find out which model gives a better approximation for forecasting the past, present, and future population between these two models.