Difference between revisions of "InverseLogistic Command"
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| − | <noinclude>{{Manual Page|version= | + | <noinclude>{{Manual Page|version=5.0}}</noinclude> {{command|probability}} |
| − | {{command|probability}} | + | ;InverseLogistic( <Mean>, <Scale>, <Probability> ) |
| − | ;InverseLogistic | + | :Computes the inverse of cumulative distribution function of the [[w:Logistic_distribution|Logistic distribution]] at probability ''p'', where the Logistic distribution is given by mean ''μ'' and scale ''s''. |
| − | :Computes the inverse of cumulative distribution function of the [[w:Logistic_distribution|Logistic distribution]] at probability ''p'', where the Logistic distribution is given by mean ''μ'' and scale ''s''. In other words, finds ''t'' such that ''P(X ≤ t) = p'', where X is a Logistic random variable. Probability ''p'' must be from [0,1]. | + | :In other words, finds ''t'' such that ''P(X ≤ t) = p'', where ''X'' is a Logistic random variable. |
| − | {{Example| 1=<code>InverseLogistic | + | :Probability ''p'' must be from [0,1]. |
| + | {{Example| 1=<code>InverseLogistic(100, 2, 1)</code> yields ''<math> \infty </math>''.}} | ||
Latest revision as of 11:14, 11 October 2017
- InverseLogistic( <Mean>, <Scale>, <Probability> )
- Computes the inverse of cumulative distribution function of the Logistic distribution at probability p, where the Logistic distribution is given by mean μ and scale s.
- In other words, finds t such that P(X ≤ t) = p, where X is a Logistic random variable.
- Probability p must be from [0,1].
Example:
InverseLogistic(100, 2, 1) yields \infty .
