std::fisher_f_distribution< _RealType >
- Provided by: libstdc++-4.8-doc (Version: 4.8.4-2ubuntu1~14.04.4)
- Source: gcc-4.8
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struct param_type
typedef _RealType result_type
fisher_f_distribution (_RealType __m=_RealType(1),
_RealType __n=_RealType(1))
fisher_f_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)
_RealType m () const
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 ()
template<typename _RealType1 , typename _CharT , typename
_Traits > std::basic_ostream< _CharT,
_Traits > & operator<< (std::basic_ostream<
_CharT, _Traits > &__os, const std::fisher_f_distribution<
_RealType1 > &__x)"
bool operator== (const fisher_f_distribution &__d1, const
fisher_f_distribution &__d2)
template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream< _CharT,
_Traits > & operator>> (std::basic_istream<
_CharT, _Traits > &__is, std::fisher_f_distribution<
_RealType1 > &__x)"
A fisher_f_distribution random number distribution.
The formula for the normal probability mass function is p(x|m,n) = ac{Gamma((m+n)/2)}{Gamma(m/2)Gamma(n/2)} (ac{m}{n})^{m/2} x^{(m/2)-1} (1 + ac{mx}{n})^{-(m+n)/2} ]
Definition at line 3130 of file random.h.
The type of the range of the distribution.
Definition at line 3133 of file random.h.
Returns the least upper bound value of the distribution.
Definition at line 3224 of file random.h.
References std::numeric_limits< _Tp >::max().
Returns the greatest lower bound value of the distribution.
Definition at line 3217 of file random.h.
Generating functions.
Definition at line 3232 of file random.h.
Returns the parameter set of the distribution.
Definition at line 3202 of file random.h.
Sets the parameter set of the distribution.
Parameters:
Definition at line 3210 of file random.h.
Resets the distribution state.
Definition at line 3181 of file random.h.
References std::gamma_distribution< _RealType >::reset().
Inserts a fisher_f_distribution random number distribution __x into the output stream __os.
Parameters:
Returns:
Return true if two Fisher f distributions have the same parameters and the sequences that would be generated are equal.
Definition at line 3280 of file random.h.
Extracts a fisher_f_distribution random number distribution __x from the input stream __is.
Parameters:
Returns:
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