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  2. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    The standard logistic function is the logistic function with parameters =, =, =, which yields = + = + = / / + /.In practice, due to the nature of the exponential function, it is often sufficient to compute the standard logistic function for over a small range of real numbers, such as a range contained in [−6, +6], as it quickly converges very close to its saturation values of 0 and 1.

  3. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    In statistics, the logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables. In regression analysis , logistic regression [ 1 ] (or logit regression ) estimates the parameters of a logistic model (the coefficients in the linear or non linear ...

  4. Gompertz function - Wikipedia

    en.wikipedia.org/wiki/Gompertz_function

    The Gompertz curve or Gompertz function is a type of mathematical model for a time series, named after Benjamin Gompertz (1779–1865). It is a sigmoid function which describes growth as being slowest at the start and end of a given time period.

  5. Logistic distribution - Wikipedia

    en.wikipedia.org/wiki/Logistic_distribution

    The logistic distribution receives its name from its cumulative distribution function, which is an instance of the family of logistic functions.The cumulative distribution function of the logistic distribution is also a scaled version of the hyperbolic tangent.

  6. Latent growth modeling - Wikipedia

    en.wikipedia.org/wiki/Latent_growth_modeling

    These models have grown in use in social and behavioral research since it was shown that they can be fitted as a restricted common factor model in the structural equation modeling framework. [4] The methodology can be used to investigate systematic change, or growth, and inter-individual variability in this change.

  7. Population model - Wikipedia

    en.wikipedia.org/wiki/Population_model

    One of the most basic and milestone models of population growth was the logistic model of population growth formulated by Pierre François Verhulst in 1838. The logistic model takes the shape of a sigmoid curve and describes the growth of a population as exponential, followed by a decrease in growth, and bound by a carrying capacity due to ...

  8. Logistic growth model - Wikipedia

    en.wikipedia.org/?title=Logistic_growth_model&...

    This page was last edited on 9 May 2007, at 00:23 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply ...

  9. Sigmoid function - Wikipedia

    en.wikipedia.org/wiki/Sigmoid_function

    The logistic function can be calculated efficiently by utilizing type III Unums. [8] An hierarchy of sigmoid growth models with increasing complexity (number of parameters) was built [9] with the primary goal to re-analyze kinetic data, the so called N-t curves, from heterogeneous nucleation experiments, [10] in electrochemistry.