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

• The probability density for value in a Singh-Maddala distribution is proportional to for .
Probability density function:
Cumulative distribution function:
Mean and variance may not be defined for all parameter values:
Median:
Probability density function:
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Cumulative distribution function:
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Mean and variance may not be defined for all parameter values:
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Median:
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 Scope   (7)
Generate a set of pseudorandom numbers that are Singh-Maddala 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 varies with the shape parameters and and is defined when :
Kurtosis is defined when :
Different moments with closed forms as functions of parameters:
Closed form for symbolic order:
Hazard function:
Quantile function:
 Applications   (1)