Q-function: Difference between revisions
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== References == |
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[[Category:Continuous distributions]] |
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[[Category:Special functions]] |
Revision as of 07:58, 7 April 2009
In statistics, the Q-function is defined as the tail probability of the normalized Gaussian distribution.[1][2] In other words, is the probability that a normalized Gaussian random variable will obtain a value larger than . Other definitions of the Q-function, all of which are simple transformations of the normal cumulative distribution function, are also used occasionally.[3]
Formally, the Q-function is defined as
The Q-function can be expressed in terms of the error function as