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  2. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    Because log(x) is the sum of the terms of the form log(1 + 2 −k) corresponding to those k for which the factor 1 + 2 −k was included in the product P, log(x) may be computed by simple addition, using a table of log(1 + 2 −k) for all k. Any base may be used for the logarithm table. Applications A nautilus shell displaying a logarithmic spiral

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  4. Log–log plot - Wikipedia

    en.wikipedia.org/wiki/Loglog_plot

    In science and engineering, a loglog graph or loglog plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes. Power functions – relationships of the form – appear as straight lines in a loglog graph, with the exponent corresponding to the slope, and the coefficient ...

  5. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln (X) has a normal distribution. [2] [3] Equivalently, if Y has a normal distribution, then the exponential ...

  6. Logarithmic form - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_form

    Logarithmic form. In algebraic geometry and the theory of complex manifolds, a logarithmic differential form is a differential form with poles of a certain kind. The concept was introduced by Pierre Deligne. [1] In short, logarithmic differentials have the mildest possible singularities needed in order to give information about an open ...

  7. Logit - Wikipedia

    en.wikipedia.org/wiki/Logit

    Logit. Plot of logit ( x) in the domain of 0 to 1, where the base of the logarithm is e. In statistics, the logit ( / ˈloʊdʒɪt / LOH-jit) function is the quantile function associated with the standard logistic distribution. It has many uses in data analysis and machine learning, especially in data transformations .

  8. 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.

  9. Williams–Landel–Ferry equation - Wikipedia

    en.wikipedia.org/wiki/Williams–Landel–Ferry...

    The Williams– Landel – Ferry Equation (or WLF Equation) is an empirical equation associated with time–temperature superposition. [1] The WLF equation has the form. where is the decadic logarithm of the WLF shift factor, [2] T is the temperature, Tr is a reference temperature chosen to construct the compliance master curve and C1, C2 are ...