Method | Description | |
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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. |
return | 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. |
return | IDistribution |
public PoissonDistribution ( double lambda ) : System | ||
lambda | double | The Poisson's lambda parameter. |
return | System |
public ProbabilityMassFunction ( int x ) : double | ||
x | int | /// A single point in the distribution range. |
return | double |