/// <summary>
/// Returns the value of the probability distribution function.
/// </summary>
/// <param name="x">Value</param>
/// <returns>float precision floating point number</returns>
public float Distribution(float x)
{
if (x < 0)
{
return(0);
}
return(Special.GammaP(k, x / thetta));
}
/// <summary>
/// Returns the value of the probability distribution function.
/// </summary>
/// <param name="x">Value</param>
/// <returns>float precision floating point number</returns>
public float Distribution(float x)
{
if (x <= 0)
{
return(0);
}
return(Special.GammaP(k / 2.0f, x / 2.0f));
}
/// <summary>
/// Returns the value of the probability distribution function.
/// </summary>
/// <param name="x">Value</param>
/// <returns>float precision floating point number</returns>
public float Distribution(float x)
{
if (x <= 0)
{
return(0);
}
return(Special.GammaP(mu, (mu / omega) * (x * x)));
}
/// <summary>
/// Gets the cumulative distribution function (cdf) for
/// the this distribution evaluated at point <c>x</c>.
/// </summary>
/// <param name="x">A single point in the distribution range.</param>
/// <returns></returns>
/// <remarks>
/// The Cumulative Distribution Function (CDF) describes the cumulative
/// probability that a given value or any value smaller than it will occur.
/// </remarks>
public override double DistributionFunction(double x)
{
return(Special.GammaP(mu, (mu / omega) * (x * x)));
}