Méthode | Description | |
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CumulativeDistribution ( double x ) : double |
확률 분포 계산을 위한 누적분포함수
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Density ( double x ) : double |
분포의 확률 밀도
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DensityLn ( double x ) : double |
분포의 로그 확률 밀도
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Sample ( ) : double |
분포의 무작위 값을 제공합니다.
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Sample ( |
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Samples ( ) : IEnumerable |
현 분포의 무작위 값을 열거합니다.
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Samples ( |
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StudentT ( ) : System | ||
StudentT ( double location = 0.0, double scale = 1.0, double dof = 1.0, Func |
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ToString ( ) : string |
Méthode | Description | |
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AssertParameters ( double location, double scale, double dof ) : void | ||
DoSamples ( |
Samples standard student-t distributed random variables. The algorithm is method 2 in section 5, chapter 9 in L. Devroye's "Non-Uniform Random Variate Generation" |
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SetParameters ( double location, double scale, double dof ) : void |
public CumulativeDistribution ( double x ) : double | ||
x | double | The location at which to compute the cumulative distribution function. |
Résultat | double |
public Sample ( |
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rnd | ||
location | double | |
scale | double | |
dof | double | |
Résultat | double |
public Samples ( |
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rnd | ||
location | double | |
scale | double | |
dof | double | |
Résultat | IEnumerable |
public StudentT ( double location = 0.0, double scale = 1.0, double dof = 1.0, Func |
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location | double | |
scale | double | |
dof | double | |
randomFactory | Func |
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Résultat | System |