The generalized logistic curve or function, also known as Richards' curve is a widely-used and flexible sigmoid function for growth modelling, extending the well-known logistic curve.
where Y = weight, height, size etc., and t = time.
It has six parameters:
- A: the lower asymptote;
- K: the upper asymptote. If A=0 then K is called the carrying capacity;
- B: the growth rate;
- ν>0 : affects near which asymptote maximum growth occurs.
- Q: depends on the value Y(0)
- M: the time of maximum growth if Q=ν
Contents |
Generalized logistic differential equation
A particular case of Richard's function is:
which is the solution of the so called Richard's differential equation (RDE):
with initial condition
- Y(t0) = Y0
where
provided that ν > 0 and α > 0.
The classical logistic differential equation is a particular case of the above equation, with ν =1, whereas the Gompertz curve can be recovered in the limit
provided that:
In fact, for small ν it is
The RDE suits to model many growth phenomena, including the growth of tumors. Concerning its applications in oncology, its main biological features are similar to those of Logistic curve model.
See also
References
- Richards, F.J. 1959 A flexible growth function for empirical use. J. Exp. Bot. 10: 290--300.
- Pella JS and PK Tomlinson. 1969. A generalised stock-production model. Bull. IATTC 13: 421-496.
- Lei, Y.C. and Zhang, S.Y. 2004. Features and Partial Derivatives of Bertalanffy-Richards Growth Model in Forestry. Nonlinear Analysis: Modelling and Control, Vol 9, No. 1:65-73
See also
This entry is from Wikipedia, the leading user-contributed encyclopedia. It may not have been reviewed by professional editors (see full disclaimer)










