logistic curve


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lo·gis·tic curve

an S-shaped curve that depicts the growth of a population in an area of fixed limits.

logistic curve

an S-shaped curve of numbers against time that represents the growth in numbers of a population of organisms in a limited environment. see GROWTH CURVE.
References in periodicals archive ?
the fitting of certain curves that can be reduced to straight lines by transformation of the Y or X variable, fitting a polynomial curve in X which is often a good approximation to a more complex curve, and the asymptotic curve and logistic curve which require more complex procedures.
e) Technically, the logistic curve is a representation of the natural logarithm of the odds of something occurring.
This involved generating up to 1000 logistic curve fits by varying annual estimates.
Another reason for considering a logistic curve follows from a rather subtle pattern in the data.
Schwartz and Zanobetti (2000) also present an argument as to why the concentration-response relationship may look like a logistic curve.
The modified exponential curve shows a very small mean error, but a large, mean absolute percentage error, and the logistic curve shows just the opposite.
They compared their empirical data with a theoretical logistic curve derived in 1931 by Hiroshi Tamiya, who similarly investigated a literature growth curve for Aspergillus.
The logistic curve was fitted, minimizing the negative value of the log-likelihood using a binomial function (Brouwer & Griffiths 2005):
5) cycle and S-curve equal--reach a turning-point, from where GDP starts to grow rapidly and becomes detached from the S-curve, the gap between the logistic curve signals that in the economic environment forms the bubble effect, in other words, GDP is close to a maximum investment capacity, which in the country's economy can be effectively absorbed and reached maximal saturation limits: invested capital (GDP) reached the limits, economic growth stopped.
Logistic regression is a generalized linear model used for binomial regression for the purposes of predicting the probability of occurrence of an event by fitting data to a logistic curve.
Viruses initially spread in a manner oftentimes consistent with a graphical relationship called a logistic curve (Figure 1).
m]95 are the logistic parameters for the growth curve being the length at which the growth increment is 50% and 95% of the maximum, respectively, and Max[DELTA]L is the maximum growth increment for the inverse logistic curve describing abalone growth.