Difference between revisions of "InverseLogistic Command"

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 .

@@ Line 1: / Line 1: @@
-<noinclude>{{Manual Page|version=4.2}}</noinclude>{{betamanual|version=4.2}}
+<noinclude>{{Manual Page|version=5.0}}</noinclude> {{command|probability}}
-{{command|probability}}
+;InverseLogistic( <Mean>, <Scale>, <Probability> )
-;InverseLogistic[ <Mean μ>, <Scale s>, <Probability p> ]
+: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 ''p'', where the Log-Normal 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.
+:Probability ''p'' must be from [0,1].
+{{Example| 1=<code>InverseLogistic(100, 2, 1)</code> yields ''<math> \infty </math>''.}}