Difference between revisions of "InverseLogistic Command"

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;InverseLogistic[ <Mean>, <Scale>, <Probability> ]
 
;InverseLogistic[ <Mean>, <Scale>, <Probability> ]
 
: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].
 
: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].
 
+
{{Example| 1=<code>InverseLogistic[100, 2, 1]</code> computes ''<math> \infty </math>''.}}
: {{Example| 1=<code>InverseLogistic[100, 2, 1]</code> computes ''<math> \infty </math>''.}}
 

Revision as of 17:59, 22 March 2013



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] computes \infty .
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