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  2. Log–log plot - Wikipedia

    en.wikipedia.org/wiki/Loglog_plot

    A loglog plot of y = x (blue), y = x 2 (green), and y = x 3 (red). Note the logarithmic scale markings on each of the axes, and that the log x and log y axes (where the logarithms are 0) are where x and y themselves are 1. Comparison of linear, concave, and convex functions when plotted using a linear scale (left) or a log scale (right).

  3. Logarithmic scale - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_scale

    Semi-log plot of the Internet host count over time shown on a logarithmic scale. A logarithmic scale (or log scale) is a method used to display numerical data that spans a broad range of values, especially when there are significant differences between the magnitudes of the numbers involved.

  4. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    The logarithm of a product is the sum of the logarithms of the numbers being multiplied; the logarithm of the ratio of two numbers is the difference of the logarithms. The logarithm of the p-th power of a number is p times the logarithm of the number itself; the logarithm of a p-th root is the logarithm of the number divided by p. The following ...

  5. Log probability - Wikipedia

    en.wikipedia.org/wiki/Log_probability

    The logarithm function is not defined for zero, so log probabilities can only represent non-zero probabilities. Since the logarithm of a number in (,) interval is negative, often the negative log probabilities are used. In that case the log probabilities in the following formulas would be inverted.

  6. Logarithmic mean - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_mean

    Three-dimensional plot showing the values of the logarithmic mean. In mathematics, the logarithmic mean is a function of two non-negative numbers which is equal to their difference divided by the logarithm of their quotient. This calculation is applicable in engineering problems involving heat and mass transfer.

  7. Stirling's approximation - Wikipedia

    en.wikipedia.org/wiki/Stirling's_approximation

    An alternative version uses the fact that the Poisson distribution converges to a normal distribution by the Central Limit Theorem. [5]Since the Poisson distribution with parameter converges to a normal distribution with mean and variance , their density functions will be approximately the same:

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    mail.aol.com

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  9. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    This value can then be used to give some scaling relation between the inflexion point and maximum point of the log-normal distribution. [48] This relationship is determined by the base of natural logarithm, e = 2.718 … {\displaystyle e=2.718\ldots } , and exhibits some geometrical similarity to the minimal surface energy principle.