...one of the most highly
regarded and expertly designed C++ library projects in the
world.
— Herb Sutter and Andrei
Alexandrescu, C++
Coding Standards
A DistributionType is a type that implements the following conceptual requirements, and encapsulates a statistical distribution.
Please note that this documentation should not be used as a substitute for the reference documentation, and tutorial of the statistical distributions.
In the following table, d is an object of type DistributionType
, cd
is an object of type const DistributionType
and cr
is an object of a type convertible to RealType
.
Expression 
Result Type 
Notes 

DistributionType::value_type 
RealType 
The realnumber type RealType upon which the distribution operates. 
DistributionType::policy_type 
RealType 
The Policy to use when evaluating functions that depend on this distribution. 
d = cd 
Distribution& 
Distribution types are assignable. 
Distribution(cd) 
Distribution 
Distribution types are copy constructible. 
pdf(cd, cr) 
RealType 
Returns the PDF of the distribution. 
cdf(cd, cr) 
RealType 
Returns the CDF of the distribution. 
cdf(complement(cd, cr)) 
RealType 
Returns the complement of the CDF of the distribution, the same as:

quantile(cd, cr) 
RealType 
Returns the quantile of the distribution. 
quantile(complement(cd, cr)) 
RealType 
Returns the quantile of the distribution, starting from the complement
of the probability, the same as: 
chf(cd, cr) 
RealType 
Returns the cumulative hazard function of the distribution. 
hazard(cd, cr) 
RealType 
Returns the hazard function of the distribution. 
kurtosis(cd) 
RealType 
Returns the kurtosis of the distribution. 
kurtosis_excess(cd) 
RealType 
Returns the kurtosis excess of the distribution. 
mean(cd) 
RealType 
Returns the mean of the distribution. 
mode(cd) 
RealType 
Returns the mode of the distribution. 
skewness(cd) 
RealType 
Returns the skewness of the distribution. 
standard_deviation(cd) 
RealType 
Returns the standard deviation of the distribution. 
variance(cd) 
RealType 
Returns the variance of the distribution. 