This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

# FisherZDistribution

 FisherZDistribution represents a Fisher distribution with n numerator and m denominator degrees of freedom.
• The probability density for value in a Fisher distribution is proportional to for all real .
Probability density function:
Cumulative distribution function:
Mean:
Median:
Probability density function:
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Cumulative distribution function:
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Mean:
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Median:
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 Scope   (7)
Generate a set of pseudorandom numbers that are Fisher distributed:
Compare its histogram to the PDF:
Distribution parameters estimation:
Estimate the distribution parameters from sample data:
Compare the density histogram of the sample with the PDF of the estimated distribution:
Skewness:
Kurtosis:
Different moments with closed forms as functions of parameters, including Moment:
Hazard function:
Quantile function:
 Applications   (1)
Given a binormal sample, the -statistic follows a shifted FisherZDistribution:
Generate the distribution of -statistics for binormal samples of size :
Visually compare the -statistic distribution to a shifted FisherZDistribution:
DistributionFitTest confirms the result:
Parameter influence on the CDF for each :
Relationships to other distributions:
Fisher distribution is a transformation of FRatioDistribution:
New in 8