Growth, Life Cycle and Dynamic Modelling

M. Carrillo

Mathematical and Computer Modelling of Dynamical Systems, 2003, vol. 9, issue 2, 121-136

Abstract: Growth and diffusion processes have received great interest from investigators in many disciplines, such as Biology, Demography or Economics. These processes are usually analyzed by means of sigmoidal curves that formalize the well-known theory of the life cycle. The characteristic stages in the biological life cycle of an organism are widely applicable to technology progress, sales of a new product or the evolution of economic sectors. In this paper a mathematical characterization of sigmoidal growth is presented that gives rise to a general methodology for modelling such processes, additionally allowing to establish a qualitative equivalence among sigmoidal growth-type phenomena.

Date: 2003
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1076/mcmd.9.2.121.16518 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:nmcmxx:v:9:y:2003:i:2:p:121-136

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/NMCM20

DOI: 10.1076/mcmd.9.2.121.16518

Access Statistics for this article

Mathematical and Computer Modelling of Dynamical Systems is currently edited by I. Troch

More articles in Mathematical and Computer Modelling of Dynamical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().