/// <summary>
/// Return an array of samples of the deviation
/// </summary>
/// <param name="distr"></param>
/// <returns></returns>
public static double[] Samples(MND.IContinuousDistribution distr, int count)
{
if (count < 0) return null;
var result = new double[count];
for (int idx = 0; idx < count; idx++)
result[idx] = distr.Sample();
return result;
}
/// <summary>
/// Return the mean value of a distribution
/// </summary>
/// <param name="distr"></param>
/// <returns></returns>
public static double Mean(MND.IContinuousDistribution distr)
{
return distr.Mean;
}
/// <summary>
/// Return the standard deviation of a distribution
/// </summary>
/// <param name="distr"></param>
/// <returns></returns>
public static double Deviation(MND.IContinuousDistribution distr)
{
return distr.StdDev;
}
/// <summary>
/// Return the entropy of a distribution
/// </summary>
/// <param name="distr"></param>
/// <returns></returns>
public static double Entropy(MND.IContinuousDistribution distr)
{
return distr.Entropy;
}
/// <summary>
/// Return the variance of a distribution
/// </summary>
/// <param name="distr"></param>
/// <returns></returns>
public static double Variance(MND.IContinuousDistribution distr)
{
return distr.Variance;
}