Summary
This paper deals with a general theory of growth and the related growth functions that apply to many systems where growth occurs. Such growth systems appear in forecasting, finance, business, management, marketing, new technology diffusion, innovation diffusion, demography and biology and in several other cases. Firstly, some important growth equations are produced by following simple laws of growth. Secondly, similarities between growth systems and systems in physics are studied. An exploration of growth patterns and growth regulation is following and variational principles are applied so that a general growth model and its Lagrangian are formulated.
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© 1995 Springer Science+Business Media Dordrecht
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Skiadas, C.H. (1995). A Lagrangian Approach for the Selection of Growth Functions in Forecasting. In: Janssen, J., Skiadas, C.H., Zopounidis, C. (eds) Advances in Stochastic Modelling and Data Analysis. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0663-6_12
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DOI: https://doi.org/10.1007/978-94-017-0663-6_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4574-4
Online ISBN: 978-94-017-0663-6
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