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  2. D'Agostino's K-squared test - Wikipedia

    en.wikipedia.org/wiki/D'Agostino's_K-squared_test

    The sample skewness g 1 and kurtosis g 2 are both asymptotically normal. However, the rate of their convergence to the distribution limit is frustratingly slow, especially for g 2 . For example even with n = 5000 observations the sample kurtosis g 2 has both the skewness and the kurtosis of approximately 0.3, which is not negligible.

  3. Skewness - Wikipedia

    en.wikipedia.org/wiki/Skewness

    Example distribution with positive skewness. These data are from experiments on wheat grass growth. In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive, zero, negative, or undefined.

  4. Skewness risk - Wikipedia

    en.wikipedia.org/wiki/Skewness_risk

    Skewness risk in forecasting models utilized in the financial field is the risk that results when observations are not spread symmetrically around an average value, but instead have a skewed distribution. As a result, the mean and the median can be different.

  5. I believe the Bible today more than ever, but for ... - AOL

    www.aol.com/news/believe-bible-today-more-ever...

    Paul Prather: The Bible is a spiritual anthology to help us survive long bouts of confusion occasionally punctuated by encounters with the sublime. Followed by more confusion.

  6. Skewed generalized t distribution - Wikipedia

    en.wikipedia.org/wiki/Skewed_generalized_t...

    where is the beta function, is the location parameter, > is the scale parameter, < < is the skewness parameter, and > and > are the parameters that control the kurtosis. and are not parameters, but functions of the other parameters that are used here to scale or shift the distribution appropriately to match the various parameterizations of this distribution.

  7. Jarque–Bera test - Wikipedia

    en.wikipedia.org/wiki/Jarque–Bera_test

    In statistics, the Jarque–Bera test is a goodness-of-fit test of whether sample data have the skewness and kurtosis matching a normal distribution. The test is named after Carlos Jarque and Anil K. Bera. The test statistic is always nonnegative. If it is far from zero, it signals the data do not have a normal distribution.

  8. L-moment - Wikipedia

    en.wikipedia.org/wiki/L-moment

    As an example consider a dataset with a few data points and one outlying data value. If the ordinary standard deviation of this data set is taken it will be highly influenced by this one point: however, if the L-scale is taken it will be far less sensitive to this data value. Consequently, L-moments are far more meaningful when dealing with ...

  9. Allegorical interpretation of the Bible - Wikipedia

    en.wikipedia.org/wiki/Allegorical_interpretation...

    Allegorical interpretation of the Bible is an interpretive method that assumes that the Bible has various levels of meaning and tends to focus on the spiritual sense, which includes the allegorical sense, the moral (or tropological) sense, and the anagogical sense, as opposed to the literal sense.