Difference between revisions of "cpp/numeric/random/student t distribution"
From cppreference.com
m (+wolfram link) |
(+param and desc) |
||
| Line 6: | Line 6: | ||
}} | }} | ||
| − | {{ | + | {{}} |
| + | |||
| + | |||
| + | |||
| + | |||
===Member types=== | ===Member types=== | ||
| Line 24: | Line 28: | ||
{{dcl list h2 | Characteristics}} | {{dcl list h2 | Characteristics}} | ||
| − | {{dcl list | + | {{dcl list }} |
{{dcl list template | cpp/numeric/random/distribution/dcl list param | student_t_distribution}} | {{dcl list template | cpp/numeric/random/distribution/dcl list param | student_t_distribution}} | ||
{{dcl list template | cpp/numeric/random/distribution/dcl list min | student_t_distribution}} | {{dcl list template | cpp/numeric/random/distribution/dcl list min | student_t_distribution}} | ||
Revision as of 09:40, 10 February 2012
Template:cpp/numeric/random/student t distribution/sidebar
| Defined in header <random>
|
||
| template< class RealType = double > class student_t_distribution; |
(since C++11) | |
Produces random floating-point values x, distributed according to probability density function:
- P(x|n) =
·1 √nπ
· ⎛Γ(
)n+1 2 Γ(
)n 2
⎜
⎝1+
⎞x2 n
⎟
⎠ -n+1 2
where n is known as the number of degrees of freedom. This distribution is used when estimating the mean of an unknown normally distributed value given n sample measurements, each with additive errors of unknown standard deviation, as in physical measurements.
Contents |
Member types
Template:tdcl list begin Template:tdcl list hitem Template:tdcl list item Template:tdcl list item Template:tdcl list end
Member functions
Non-member functions
Example
External links
Weisstein, Eric W. "Student's t-Distribution." From MathWorld--A Wolfram Web Resource.
