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  2. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    A logistic function or logistic curve is a common S-shaped curve ( sigmoid curve) with the equation. where. , the value of the function's midpoint; , the supremum of the values of the function; , the logistic growth rate or steepness of the curve. [1] Standard logistic function where. For values of in the domain of real numbers from to , the S ...

  3. Maximum sustainable yield - Wikipedia

    en.wikipedia.org/wiki/Maximum_sustainable_yield

    Equation 1.2 is the usual way in which logistic growth is represented mathematically and has several important features. First, at very low population sizes, the value of N K {\displaystyle {\frac {N}{K}}} is small, so the population growth rate is approximately equal to r N {\displaystyle rN} , meaning the population is growing exponentially ...

  4. Von Bertalanffy function - Wikipedia

    en.wikipedia.org/wiki/Von_Bertalanffy_function

    The von Bertalanffy growth function ( VBGF ), or von Bertalanffy curve, is a type of growth curve for a time series and is named after Ludwig von Bertalanffy. It is a special case of the generalised logistic function. The growth curve is used to model mean length from age in animals. [1] The function is commonly applied in ecology to model fish ...

  5. Malthusian growth model - Wikipedia

    en.wikipedia.org/wiki/Malthusian_growth_model

    A Malthusian growth model, sometimes called a simple exponential growth model, is essentially exponential growth based on the idea of the function being proportional to the speed to which the function grows. The model is named after Thomas Robert Malthus, who wrote An Essay on the Principle of Population (1798), one of the earliest and most ...

  6. Population dynamics - Wikipedia

    en.wikipedia.org/wiki/Population_dynamics

    where e is Euler's number, a universal constant often applicable in logistic equations, and r is the intrinsic growth rate. To find the relationship between a geometric population and a logistic population, we assume the N t is the same for both models, and we expand to the following equality:

  7. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    An explanation of logistic regression can begin with an explanation of the standard logistic function. The logistic function is a sigmoid function, which takes any real input , and outputs a value between zero and one. [2] For the logit, this is interpreted as taking input log-odds and having output probability.

  8. Population growth - Wikipedia

    en.wikipedia.org/wiki/Population_growth

    Population growth is the increase in the number of people in a population or dispersed group. Actual global human population growth amounts to around 83 million annually, or 1.1% per year. [2] The global population has grown from 1 billion in 1800 to 7.9 billion in 2020. [3] The UN projected population to keep growing, and estimates have put ...

  9. Carrying capacity - Wikipedia

    en.wikipedia.org/wiki/Carrying_capacity

    Thus, the equation relates the growth rate of the population N to the current population size, incorporating the effect of the two constant parameters r and K. (Note that decrease is negative growth.) The choice of the letter K came from the German Kapazitätsgrenze (capacity limit). This equation is a modification of the original Verhulst model: