MultinomialDistribution Class

[SerializableAttribute]
public class MultinomialDistribution : MultivariateDiscreteDistribution, 
	IFittableDistribution<double[], IFittingOptions>, IFittable<double[], IFittingOptions>, 
	IFittable<double[]>, IFittableDistribution<double[]>, IDistribution<double[]>, 
	IDistribution, ICloneable

<SerializableAttribute>
Public Class MultinomialDistribution
	Inherits MultivariateDiscreteDistribution
	Implements IFittableDistribution(Of Double(), IFittingOptions), 
	IFittable(Of Double(), IFittingOptions), IFittable(Of Double()), 
	IFittableDistribution(Of Double()), IDistribution(Of Double()), 
	IDistribution, ICloneable

// distribution parameters
int numberOfTrials = 5; 
double[] probabilities = { 0.25, 0.75 };

// Create a new Multinomial distribution with 5 trials for 2 symbols
var dist = new MultinomialDistribution(numberOfTrials, probabilities);

int dimensions = dist.Dimension; // 2

double[] mean = dist.Mean;     // {  1.25, 3.75 }
double[] median = dist.Median; // {  1.25, 3.75 }
double[] var = dist.Variance;  // { -0.9375, -0.9375 }

double pdf1 = dist.ProbabilityMassFunction(new[] { 2, 3 }); // 0.26367187499999994
double pdf2 = dist.ProbabilityMassFunction(new[] { 1, 4 }); // 0.3955078125
double pdf3 = dist.ProbabilityMassFunction(new[] { 5, 0 }); // 0.0009765625
double lpdf = dist.LogProbabilityMassFunction(new[] { 1, 4 }); // -0.9275847384929139

// output is "Multinomial(x; n = 5, p = { 0.25, 0.75 })"
string str = dist.ToString(CultureInfo.InvariantCulture);