A Lagrangian Approach for the Selection of Growth Functions in Forecasting

Christos H. Skiadas
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Christos H. Skiadas: Technical University of Crete, Department of Production Engineering and Management

A chapter in Advances in Stochastic Modelling and Data Analysis, 1995, pp 189-194 from Springer

Abstract: 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.

Keywords: Growth functions; Lagrangian of growth models; Forecasting. (search for similar items in EconPapers)
Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-0663-6_12

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DOI: 10.1007/978-94-017-0663-6_12

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