// <copyright file="IUnivariateDistribution.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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//
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// Copyright (c) 2009-2013 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the "Software"), to deal in the Software without
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// restriction, including without limitation the rights to use,
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the
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// Software is furnished to do so, subject to the following
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
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// included in all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// </copyright>
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namespace IStation.Numerics.Distributions
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{
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/// <summary>
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/// Univariate Probability Distribution.
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/// </summary>
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/// <seealso cref="IContinuousDistribution"/>
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/// <seealso cref="IDiscreteDistribution"/>
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public interface IUnivariateDistribution : IDistribution
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{
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/// <summary>
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/// Gets the mean of the distribution.
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/// </summary>
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double Mean { get; }
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/// <summary>
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/// Gets the variance of the distribution.
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/// </summary>
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double Variance { get; }
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/// <summary>
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/// Gets the standard deviation of the distribution.
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/// </summary>
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double StdDev { get; }
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/// <summary>
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/// Gets the entropy of the distribution.
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/// </summary>
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double Entropy { get; }
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/// <summary>
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/// Gets the skewness of the distribution.
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/// </summary>
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double Skewness { get; }
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/// <summary>
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/// Gets the median of the distribution.
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/// </summary>
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double Median { get; }
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/// <summary>
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/// Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x).
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/// </summary>
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/// <param name="x">The location at which to compute the cumulative distribution function.</param>
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/// <returns>the cumulative distribution at location <paramref name="x"/>.</returns>
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double CumulativeDistribution(double x);
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}
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}
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