| skewness =<math>\frac{2(1+\alpha)}{\alpha-3}\,\sqrt{\frac{\alpha-2}{\alpha}}\text{ for }\alpha>3\,</math>
| kurtosis =<math>\frac{6(\alpha^3+\alpha^2-6\alpha-2)}{\alpha(\alpha-3)(\alpha-4)}\text{ for }\alpha>4\,</math>
| entropy =
| mgf =
| char =
}}
The '''Lomax distribution''', conditionally also called the '''[[Pareto_distribution#Pareto types I–IV|Pareto Type II distribution]]''', is a [[heavy tail|heavy-tail]] [[probability distribution]] often used in business, economics, and actuarial modeling.<ref>Lomax, K. S. (1954) "Business Failures; Another example of the analysis of failure data". ''[[Journal of the American Statistical Association]]'', 49, 847–852. {{jstor|2281544}}</ref><ref>Johnson, N.L., Kotz, S., Balakrishnan, N. (1994) ''Continuous Univariate Distributions, Volume 1'', 2nd Edition, Wiley. ISBN 0-471-58495-9 (pages 575, 602)</ref> It is named after K. S. Lomax. It is essentially a [[Pareto distribution]] that has been shifted so that its support begins at zero.<ref>Van Hauwermeiren M and Vose D (2009). [http://www.vosesoftware.com/content/ebook.pdf '' A Compendium of Distributions''] [ebook]. Vose Software, Ghent, Belgium. Available at www.vosesoftware.com. Accessed 07/07/11</ref>
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== Characterization ==
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=== Probability density function ===
The [[probability density function]] (pdf) for the Lomax distribution is given by
with shape parameter <math>\alpha>0</math> and scale parameter <math>\lambda>0</math>. The density can be rewritten in such a way that more clearly shows the relation to the [[Pareto distribution|Pareto Type I distribution]]. That is:
The pdf of the Lomax distribution is a solution to the following [[differential equation]]:
:<math forcemathmode="mathml">E=mc^2</math>
:<math>\left\{\begin{array}{l}
(\gamma +x) p'(x)+(\alpha +1) p(x)=0, \\
p(0)=\frac{\alpha}{\gamma}
\end{array}\right\}
</math>
== Relation to the Pareto distribution ==
<!--'''PNG''' (currently default in production)
The Lomax distribution is a [[Pareto distribution|Pareto Type I distribution]] shifted so that its support begins at zero. Specifically:
:<math forcemathmode="png">E=mc^2</math>
:<math>\text{If } Y \sim \mbox{Pareto}(x_m = \lambda, \alpha), \text{ then } Y - x_m \sim \mbox{Lomax}(\lambda,\alpha).</math>
The Lomax distribution is a [[Pareto_distribution#Pareto types I–IV|Pareto Type II distribution]] with ''x''<sub>m</sub>=λ and μ=0:{{cn|date=October 2012}}
'''source'''
:<math>
:<math forcemathmode="source">E=mc^2</math> -->
\text{If } X \sim \mbox{Lomax}(\lambda,\alpha) \text{ then } X \sim \text{P(II)}(x_m = \lambda, \alpha, \mu=0).</math>
== Relation to generalized Pareto distribution ==
<span style="color: red">Follow this [https://en.wikipedia.org/wiki/Special:Preferences#mw-prefsection-rendering link] to change your Math rendering settings.</span> You can also add a [https://en.wikipedia.org/wiki/Special:Preferences#mw-prefsection-rendering-skin Custom CSS] to force the MathML/SVG rendering or select different font families. See [https://www.mediawiki.org/wiki/Extension:Math#CSS_for_the_MathML_with_SVG_fallback_mode these examples].
The Lomax distribution is a special case of the [[generalized Pareto distribution]]. Specifically:
Here are some [https://commons.wikimedia.org/w/index.php?title=Special:ListFiles/Frederic.wang demos]:
The Lomax distribution is a special case of the [[q-exponential distribution]]. The q-exponential extends this distribution to support on a bounded interval. The Lomax parameters are given by:
** [https://commons.wikimedia.org/wiki/File:MathPlayer-Audio-Windows7-InternetExplorer.ogg Internet Explorer + MathPlayer (audio)]
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** Orca: There is ongoing work, but no support at all at the moment [[File:Orca-mathml-example-1.wav|thumb|Orca-mathml-example-1]], [[File:Orca-mathml-example-2.wav|thumb|Orca-mathml-example-2]], [[File:Orca-mathml-example-3.wav|thumb|Orca-mathml-example-3]], [[File:Orca-mathml-example-4.wav|thumb|Orca-mathml-example-4]], [[File:Orca-mathml-example-5.wav|thumb|Orca-mathml-example-5]], [[File:Orca-mathml-example-6.wav|thumb|Orca-mathml-example-6]], [[File:Orca-mathml-example-7.wav|thumb|Orca-mathml-example-7]].
** From our testing, ChromeVox and JAWS are not able to read the formulas generated by the MathML mode.
The <math>\nu</math>th non-central moment <math>E[X^\nu]</math> exists only if the shape parameter <math>\alpha</math> strictly exceeds <math>\nu</math>, when the moment has the value
To test the '''MathML''', '''PNG''', and '''source''' rendering modes, please go to one of the following test pages:
*[[Power law]]
*[[Displaystyle]]
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*[[Help:Formula]]
==References==
*[[Inputtypes|Inputtypes (private Wikis only)]]
<references />
*[[Url2Image|Url2Image (private Wikis only)]]
{{ProbDistributions|continuous-semi-infinite}}
==Bug reporting==
[[Category:Continuous distributions]]
If you find any bugs, please report them at [https://bugzilla.wikimedia.org/enter_bug.cgi?product=MediaWiki%20extensions&component=Math&version=master&short_desc=Math-preview%20rendering%20problem Bugzilla], or write an email to math_bugs (at) ckurs (dot) de .
[[Category:Probability distributions with non-finite variance]]
[[Category:Probability distributions]]
Latest revision as of 22:52, 15 September 2019
This is a preview for the new MathML rendering mode (with SVG fallback), which is availble in production for registered users.
If you would like use the MathML rendering mode, you need a wikipedia user account that can be registered here [[1]]
Only registered users will be able to execute this rendering mode.
Note: you need not enter a email address (nor any other private information). Please do not use a password that you use elsewhere.
Registered users will be able to choose between the following three rendering modes:
MathML
Follow this link to change your Math rendering settings. You can also add a Custom CSS to force the MathML/SVG rendering or select different font families. See these examples.