Abstract: This chapter explores a whole host of alternative growth models that have been employed to study growth behavior in diverse fields such as forestry, agriculture, biology, engineering, and economics, to name but a few. The chapter also concentrates on sigmoidal (S-shaped) growth curves. Some of the common parametric growth models covered here include the linear model; reciprocal model; logistic model; Gompertz model; and the Weibull model. The other models discussed include the negative exponential model; von Bertalanffy growth model; loglogistic model; and the Brody model. A growth equation that is almost as flexible as the Richards growth function is the Janoschek sigmoidal function. The Lundqvist–Korf model, Hossfeld model, Stannard growth function, and the Schnute model are also discussed. The chapter considers the generalized Michaelis–Menten-type equation that exhibits a flexible functional form for describing growth and can produce sigmoidal and diminishing returns behavior in that it has a variable inflection point.
Publication Year: 2013
Publication Date: 2013-12-20
Language: en
Type: other
Indexed In: ['crossref']
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