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  2. 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.

  3. Numeric precision in Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Numeric_precision_in...

    Excel graph of the difference between two evaluations of the smallest root of a quadratic: direct evaluation using the quadratic formula (accurate at smaller b) and an approximation for widely spaced roots (accurate for larger b). The difference reaches a minimum at the large dots, and round-off causes squiggles in the curves beyond this minimum.

  4. Data transformation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    The upper plot uses raw data. In the lower plot, both the area and population data have been transformed using the logarithm function. In statistics , data transformation is the application of a deterministic mathematical function to each point in a data set—that is, each data point z i is replaced with the transformed value y i = f ( z i ...

  5. Normalization (statistics) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(statistics)

    Normalizing residuals when parameters are estimated, particularly across different data points in regression analysis. Standardized moment: Normalizing moments, using the standard deviation as a measure of scale. Coefficient of variation

  6. Log probability - Wikipedia

    en.wikipedia.org/wiki/Log_probability

    The above formula alone will incorrectly produce an indeterminate result in the case where both arguments are . This should be checked for separately to return − ∞ {\displaystyle -\infty } . For numerical reasons, one should use a function that computes log ⁡ ( 1 + x ) {\displaystyle \log(1+x)} ( log1p ) directly.

  7. Quantile normalization - Wikipedia

    en.wikipedia.org/wiki/Quantile_normalization

    To quantile normalize two or more distributions to each other, without a reference distribution, sort as before, then set to the average (usually, arithmetic mean) of the distributions. So the highest value in all cases becomes the mean of the highest values, the second highest value becomes the mean of the second highest values, and so on.

  8. Normalized solution (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Normalized_solution...

    In mathematics, a normalized solution to an ordinary or partial differential equation is a solution with prescribed norm, that is, a solution which satisfies a condition like | | = In this article, the normalized solution is introduced by using the nonlinear Schrödinger equation .

  9. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    The main concepts are those of a grid of cells, called a sheet, with either raw data, called values, or formulas in the cells. Formulas say how to mechanically compute new values from existing values. Values are general numbers, but can also be pure text, dates, months, etc. Extensions of these concepts include logical spreadsheets.