#
A
fisher_
f_
distribution
random number distribution produces random numbers
x
≥ 0
distributed according to the probability density function in Formula
29.17
.
p
(
x
|
m
,
n
)
=
Γ
(
(
m
+
n
)
/
2
)
Γ
(
m
/
2
)
Γ
(
n
/
2
)
⋅
(
m
n
)
m
/
2
⋅
x
(
m
/
2
)
−
1
⋅
(
1
+
m
x
n
)
−
(
m
+
n
)
/
2
(29.17)
🔗
namespace
std
{
template
<
class
RealType
=
double
>
class
fisher_f_distribution
{
public
:
/ types
using
result_type
=
RealType;
using
param_type
=
unspecified
;
/ constructor and reset functions
fisher_f_distribution
(
)
:
fisher_f_distribution
(
1.0
)
{
}
explicit
fisher_f_distribution
(
RealType m, RealType n
=
1.0
)
;
explicit
fisher_f_distribution
(
const
param_type
&
parm
)
;
void
reset
(
)
;
/ equality operators
friend
bool
operator
=
(
const
fisher_f_distribution
&
x,
const
fisher_f_distribution
&
y
)
;
/ generating functions
template
<
class
URBG
>
result_type
operator
(
)
(
URBG
&
g
)
;
template
<
class
URBG
>
result_type
operator
(
)
(
URBG
&
g,
const
param_type
&
parm
)
;
/ property functions
RealType m
(
)
const
; RealType n
(
)
const
; param_type param
(
)
const
;
void
param
(
const
param_type
&
parm
)
; result_type min
(
)
const
; result_type max
(
)
const
;
/ inserters and extractors
template
<
class
charT,
class
traits
>
friend
basic_ostream
<
charT, traits
>
&
operator
<
(
basic_ostream
<
charT, traits
>
&
os,
const
fisher_f_distribution
&
x
)
;
template
<
class
charT,
class
traits
>
friend
basic_istream
<
charT, traits
>
&
operator
>
(
basic_istream
<
charT, traits
>
&
is, fisher_f_distribution
&
x
)
;
}
;
}
🔗
explicit
fisher_f_distribution
(
RealType m, RealType n
=
1
)
;
2
#
Remarks
:
m
and
n
correspond to the respective parameters of the distribution
.
🔗
RealType m
(
)
const
;
4
#
Returns
: The value of the
m
parameter with which the object was constructed
.
🔗
RealType n
(
)
const
;
5
#
Returns
: The value of the
n
parameter with which the object was constructed
.