| 메소드 | 설명 | |
|---|---|---|
| Clone ( ) : object |
Creates a new object that is a copy of the current instance.
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| DistributionFunction ( double x ) : double |
Gets the cumulative distribution function (cdf) for the F-distribution evaluated at point The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur. |
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| FDistribution ( int degrees1, int degrees2 ) : System |
Constructs a F-distribution with the given degrees of freedom.
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| Fit ( double observations, double weights ) : IDistribution |
Fits the underlying distribution to a given set of observations.
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| ProbabilityDensityFunction ( double x ) : double |
Gets the probability density function (pdf) for the F-distribution evaluated at point The Probability Density Function (PDF) describes the probability that a given value |
| public DistributionFunction ( double x ) : double | ||
| x | double | A single point in the distribution range. |
| 리턴 | double | |
| public FDistribution ( int degrees1, int degrees2 ) : System | ||
| degrees1 | int | The first degree of freedom. |
| degrees2 | int | The second degree of freedom. |
| 리턴 | System | |
| public Fit ( double observations, double weights ) : IDistribution | ||
| observations | double | The array of observations to fit the model against. |
| weights | double | The weight vector containing the weight for each of the samples. |
| 리턴 | IDistribution | |
| public ProbabilityDensityFunction ( double x ) : double | ||
| x | double | A single point in the distribution range. |
| 리턴 | double | |
