Provided by: libstdc++6-4.6-doc_4.6.4-6ubuntu2_all 

NAME
std::student_t_distribution< _RealType > -
SYNOPSIS
Classes
struct param_type
Public Types
typedef _RealType result_type
Public Member Functions
student_t_distribution (_RealType __n=_RealType(1))
student_t_distribution (const param_type &__p)
result_type max () const
result_type min () const
_RealType n () const
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator
&__urng)
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator
&__urng, const param_type &__p)
param_type param () const
void param (const param_type &__param)
void reset ()
Friends
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT,
_Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &, const std::student_t_distribution<
_RealType1 > &)"
template<typename _RealType1 > bool operator== (const std::student_t_distribution< _RealType1 > &__d1,
const std::student_t_distribution< _RealType1 > &__d2)
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT,
_Traits > & operator>> (std::basic_istream< _CharT, _Traits > &, std::student_t_distribution<
_RealType1 > &)"
Detailed Description
template<typename _RealType = double>class std::student_t_distribution< _RealType >
A student_t_distribution random number distribution.
The formula for the normal probability mass function is: p(x|n) = ac{1}{t(ni)}
ac{Gamma((n+1)/2)}{Gamma(n/2)} (1 + ac{x^2}{n}) ^{-(n+1)/2} ]
Definition at line 3043 of file random.h.
Member Typedef Documentation
template<typename _RealType = double> typedef _RealType std::student_t_distribution< _RealType >::result_type
The type of the range of the distribution.
Definition at line 3046 of file random.h.
Member Function Documentation
template<typename _RealType = double> result_type std::student_t_distribution< _RealType >::max () const
[inline]
Returns the least upper bound value of the distribution.
Definition at line 3126 of file random.h.
References std::numeric_limits< _Tp >::max().
template<typename _RealType = double> result_type std::student_t_distribution< _RealType >::min () const
[inline]
Returns the greatest lower bound value of the distribution.
Definition at line 3119 of file random.h.
References std::numeric_limits< _Tp >::min().
template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type
std::student_t_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng) [inline]
Generating functions.
Definition at line 3134 of file random.h.
References std::sqrt().
template<typename _RealType = double> param_type std::student_t_distribution< _RealType >::param () const
[inline]
Returns the parameter set of the distribution.
Definition at line 3104 of file random.h.
template<typename _RealType = double> void std::student_t_distribution< _RealType >::param (const param_type
&__param) [inline]
Sets the parameter set of the distribution.
Parameters:
__param The new parameter set of the distribution.
Definition at line 3112 of file random.h.
template<typename _RealType = double> void std::student_t_distribution< _RealType >::reset () [inline]
Resets the distribution state.
Definition at line 3087 of file random.h.
References std::normal_distribution< _RealType >::reset(), and std::gamma_distribution< _RealType
>::reset().
Friends And Related Function Documentation
template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_ostream<_CharT, _Traits>& operator<< (std::basic_ostream< _CharT, _Traits > &, const
std::student_t_distribution< _RealType1 > &) [friend]
Inserts a student_t_distribution random number distribution __x into the output stream __os.
Parameters:
__os An output stream.
__x A student_t_distribution random number distribution.
Returns:
The output stream with the state of __x inserted or in an error state.
template<typename _RealType = double> template<typename _RealType1 > bool operator== (const
std::student_t_distribution< _RealType1 > &__d1, const std::student_t_distribution< _RealType1 > &__d2)
[friend]
Return true if two Student t distributions have the same parameters and the sequences that would be
generated are equal.
Definition at line 3156 of file random.h.
template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream<_CharT, _Traits>& operator>> (std::basic_istream< _CharT, _Traits > &,
std::student_t_distribution< _RealType1 > &) [friend]
Extracts a student_t_distribution random number distribution __x from the input stream __is.
Parameters:
__is An input stream.
__x A student_t_distribution random number generator engine.
Returns:
The input stream with __x extracted or in an error state.
Author
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libstdc++ Thu Mar 20 2014 std::student_t_distribution< _RealType >(3cxx)