std::student_t_distribution - Man Page

struct param_type

typedef _RealType result_type

student_t_distribution (_RealType __n)
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.

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.

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}{sqrt(npi)} ac{Gamma((n+1)/2)}{Gamma(n/2)}
            (1 + ac{x^2}{n}) ^{-(n+1)/2}  ]

Since

C++11

The type of the range of the distribution.

Returns the least upper bound value of the distribution.

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

Returns the greatest lower bound value of the distribution.

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

Generating functions.

References std::sqrt().

Returns the parameter set of the distribution.

Sets the parameter set of the distribution.

Parameters

Resets the distribution state.

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

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

Parameters

Returns

The output stream with the state of __x inserted or in an error state.

Return true if two Student t distributions have the same parameters and the sequences that would be generated are equal.

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

Parameters

Returns

The input stream with __x extracted or in an error state.