std::student_t_distribution
From cppreference.com
Defined in header
<random>
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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+1 independent measurements, each with additive errors of unknown standard deviation, as in physical measurements. Or, alternatively, when estimating the unknown mean of a normal distribution with unknown standard deviation, given n+1 samples.
std::student_t_distribution
satisfies all requirements of RandomNumberDistribution
Contents |
[edit] Template parameters
RealType | - | The result type generated by the generator. The effect is undefined if this is not one of float, double, or long double.
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[edit] Member types
Member type | Definition |
result_type
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RealType |
param_type
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the type of the parameter set, see RandomNumberDistribution .
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[edit] Member functions
constructs new distribution (public member function) |
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resets the internal state of the distribution (public member function) |
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Generation |
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generates the next random number in the distribution (public member function) |
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Characteristics |
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returns the n distribution parameter (degrees of freedom) (public member function) |
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gets or sets the distribution parameter object (public member function) |
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returns the minimum potentially generated value (public member function) |
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returns the maximum potentially generated value (public member function) |
[edit] Non-member functions
compares two distribution objects (function) |
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performs stream input and output on pseudo-random number distribution (function template) |
[edit] Example
This section is incomplete Reason: no example |
[edit] External links
Weisstein, Eric W. "Student's t-Distribution." From MathWorld--A Wolfram Web Resource.