Math.NET Numerics
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// <copyright file="Combinatorics.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://mathnet.opensourcedotnet.info
//
// Copyright (c) 2009 Math.NET
//
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
// </copyright>
namespace MathNet.Numerics.Distributions
{
using System;
/// <summary>
/// The interface for univariate distributions.
/// </summary>
public interface IDistribution
{
/// <summary>
/// Gets or sets the random number generator which is used to generate random samples from the distribution.
/// </summary>
Random RandomNumberGenerator { get; set; }
/// <summary>
/// The mean of the distribution.
/// </summary>
double Mean { get; }
/// <summary>
/// The variance of the distribution.
/// </summary>
double Variance { get; }
/// <summary>
/// The standard deviation of the distribution.
/// </summary>
double StdDev { get; }
/// <summary>
/// The entropy of the distribution.
/// </summary>
double Entropy { get; }
/// <summary>
/// The skewness of the distribution.
/// </summary>
double Skewness { get; }
/// <summary>
/// Computes the cumulative distribution function (cdf) for this probability distribution.
/// </summary>
double CumulativeDistribution(double x);
}
}