Nonlinear age-dependent models for prediction of population growth.
In this paper, some new algorithms are proposed to estimate parameter functions in nonlinear age-dependent population models by practical data. These algorithms together with a numerical method are applied to compute the human population using the data provided by the United Nations Demographic Yearbook.
Chiu
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Department of Mathematics, Florida State University, Tallahassee 32306.
D000465:Algorithms; D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D011158:Population Growth