Analyzing and Projection of Future Bangladesh Population Using Logistic Growth Model

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International Journal of Modern Nonlinear Theory and Application

ISSN Print: 2167-9479
ISSN Online: 2167-9487
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"Analyzing and Projection of Future Bangladesh Population Using Logistic Growth Model"
written by Mohammad Sharif Ullah, Golam Mostafa, Nusrat Jahan, Md. Abdul Hakim Khan,
published by International Journal of Modern Nonlinear Theory and Application, Vol.8 No.3, 2019

has been cited by the following article(s):

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[1]	Correcting Systematic Errors by Hybrid 2D Correlation Loss Functions in nonlinear inverse modelling
	2022

[2]	A Study about Forecasting Bangladesh by Using Verhulst Logistic Growth Model and Population Model
	Annals of the …, 2022

[3]	Estimation of the Number of Cumulative COVID-19 Cases by Day in Thailand Based on a Flattened Curve Policy
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[4]	Estimation of the Number of Cumulative COVID-19 Cases by Day in Thailand Based on a Flattened Curve Policy.
	2021

[5]	ANALYZING AND PROJECTION OF FORECASTING POPULATION OF BANGLADESH USING EXPONENTIAL MODEL, LOGISTIC MODEL, AND DISCRETE …

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[1]	Correcting systematic errors by hybrid 2D correlation loss functions in nonlinear inverse modelling PLOS ONE, 2023 DOI:10.1371/journal.pone.0284723

[2]	A non-singular fractional-order logistic growth model with multi-scaling effects to analyze and forecast population growth in Bangladesh Scientific Reports, 2023 DOI:10.1038/s41598-023-45773-1