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)
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng)
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng, const param_type &__p)
template<typename _UniformRandomNumberGenerator > void __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng)
template<typename _UniformRandomNumberGenerator > void __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng, const param_type &__p)
result_type max () const
Returns the least upper bound value of the distribution. result_type min () const
Returns the greatest lower bound value of the distribution. _RealType n () const
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
Generating functions. template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p)
param_type param () const
Returns the parameter set of the distribution. void param (const param_type &__param)
Sets the parameter set of the distribution. void reset ()
Resets the distribution state.

Friends¶

template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::student_t_distribution< _RealType1 > &__x)
Inserts a student_t_distribution random number distribution __x into the output stream __os. bool operator== (const student_t_distribution &__d1, const student_t_distribution &__d2)
Return true if two Student t distributions have the same parameters and the sequences that would be generated are equal. template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::student_t_distribution< _RealType1 > &__x)
Extracts a student_t_distribution random number distribution __x from the input stream __is.

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}{rt(ni)}
ac{Gamma((n+1)/2)}{Gamma(n/2)} (1 + ac{x^2}{n}) ^{-(n+1)/2} ]

Definition at line 3229 of file random.h.

template<typename _RealType = double> typedef _RealType std::student_t_distribution< _RealType >::result_type¶

The type of the range of the distribution.

Definition at line 3232 of file random.h.

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 3317 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 3310 of file random.h.

References std::numeric_limits< _Tp >::lowest().

template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type std::student_t_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng) [inline]¶

Generating functions.

Definition at line 3325 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 3295 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:

Definition at line 3303 of file random.h.

template<typename _RealType = double> void std::student_t_distribution< _RealType >::reset () [inline]¶

Resets the distribution state.

Definition at line 3278 of file random.h.

References std::normal_distribution< _RealType >::reset(), and std::gamma_distribution< _RealType >::reset().

template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream<_CharT, _Traits>& operator<< (std::basic_ostream< _CharT, _Traits > & __os, const std::student_t_distribution< _RealType1 > & __x) [friend]¶

Inserts a student_t_distribution random number distribution __x into the output stream __os.

Parameters:

Returns:

template<typename _RealType = double> bool operator== (const student_t_distribution< _RealType > & __d1, const student_t_distribution< _RealType > & __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 3374 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 > & __is, std::student_t_distribution< _RealType1 > & __x) [friend]¶

Extracts a student_t_distribution random number distribution __x from the input stream __is.

Parameters:

Returns: