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Clarified that MAD refers to Mean Absolute Deviation around the mean. Without this clarification the measure of center is ambiguous. |
Differentiation between AAD and MAD. |
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Line 20:
| mode = <math>\mu</math>
| variance = <math>\sigma^2</math>
| mad = <math>\sigma\sqrt{2
| aad = <math>\sigma\sqrt{2/\pi}</math>
| skewness = <math>0</math>
| kurtosis = <math>0</math> <!-- DO NOT REPLACE THIS WITH THE OLD-STYLE KURTOSIS WHICH IS 3. -->
Line 48 ⟶ 49:
| mode =
| variance =
| mad =
| aad =
| skewness =
| kurtosis =
Line 82 ⟶ 84:
* {{para|mode}} — the [[mode (statistics)|mode]].
* {{para|variance}} — [[variance]] of the distribution, or [[covariance matrix]] in multivariate case.
* {{para|mad}} — the [[
* {{para|aad}} — the [[average absolute deviation|mean absolute deviation]] around the mean.
* {{para|skewness}} — the [[skewness]].
* {{para|kurtosis}} — the [[kurtosis excess]].
Line 100 ⟶ 103:
* {{para|box_width}} — width of the infobox (default: 325px).
{{para|parameters2}}, {{para|support2}}, {{para|pdf2}}, {{para|cdf2}}, {{para|mean2}}, {{para|median2}}, {{para|mode2}}, {{para|variance2}}, {{para|mad}}, {{para|aad}}, {{para|skewness2}}, {{para|kurtosis2}}, {{para|entropy2}}, {{para|mgf2}}, {{para|char2}}/{{para|cf2}}, {{para|moments2}}, {{para|fisher2}} are the same as their counterparts above. They should be used when the distribution needs two sets to describe it, e.g. [[Gamma distribution]].
== Tracking category ==
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