| 메소드 | 설명 | |
|---|---|---|
| Clone ( ) : object |
Creates a new object that is a copy of the current instance.
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| DistributionFunction ( int x ) : double |
Gets the cumulative distribution function (cdf) for the this 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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| Fit ( double observations, double weights ) : IDistribution |
Fits the underlying distribution to a given set of observations.
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| PoissonDistribution ( double lambda ) : System |
Creates a new Poisson distribution with the given lambda.
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| ProbabilityMassFunction ( int x ) : double |
Gets the probability mass function (pmf) for this distribution evaluated at point The Probability Mass Function (PMF) describes the probability that a given value |
| public DistributionFunction ( int x ) : double | ||
| x | int | /// A single point in the distribution range. |
| 리턴 | double | |
| 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 PoissonDistribution ( double lambda ) : System | ||
| lambda | double | The Poisson's lambda parameter. |
| 리턴 | System | |
| public ProbabilityMassFunction ( int x ) : double | ||
| x | int | /// A single point in the distribution range. |
| 리턴 | double | |