The Cauchy distribution
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  | Distribution name | Cauchy
  distribution | 
 
  | Common notation | 
 | 
 
  | Parameters |  =
  location parameter
  = scale
  parameter ( 
 | 
 
  | Domain | 
 | 
 
  | Probability density
  function | 
 | 
 
  | Cumulative distribution
  function | 
 | 
 
  | Mean | Does not exist | 
 
  | Variance | Does not exist | 
 
  | Skewness | Does not exist | 
 
  | (Excess) kurtosis | Does not exist | 
 
  | Characteristic function | 
 | 
 
  | Other comments | The quantile function of the Cauchy distribution is: 
 Its median is thus  .   The Cauchy distribution is a special case of the stable (more
  precisely the sum stable) distribution family.   The special case of the Cauchy distribution when  and  is
  called the standard Cauchy distribution. It coincides with the Student’s t
  distribution with one degree of freedom. It has a probability density
  function of  .   If  and  are
  independent random variables then  and this can be used to
  generate random variates.   The Cauchy distribution is also known as the
  Cauchy-Lorentz or Lorentz distribution (especially amongst physicists). | 
 
Nematrian web functions
 
Functions relating to the above distribution may be accessed
via the Nematrian
web function library by using a DistributionName of “cauchy”. For
details of other supported probability distributions see here.
 
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