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std::student_t_distribution< _RealType > Class Template Reference
Normal Distributions

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:

\[ p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)} (1 + \frac{x^2}{n}) ^{-(n+1)/2} \]

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
__paramThe 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
__osAn output stream.
__xA 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
__isAn input stream.
__xA student_t_distribution random number generator engine.
Returns
The input stream with __x extracted or in an error state.
The documentation for this class was generated from the following file: