/// <summary>
/// Calculate the variance
/// </summary>
/// <param name="data"></param>
/// <returns></returns>
static public Complex Variance(Complex[] data)
{
Debug.Assert(data != null);
if (data.Length == 0)
{
throw new DivideByZeroException("length of data is zero");
}
return(ComplexStats.SumOfSquares(data) / data.Length - ComplexStats.Sum(data));
}
/// <summary>
/// Calculate the variance
/// </summary>
/// <param name="data"></param>
/// <returns></returns>
public static Complex Variance(Complex[] data)
{
if (!(data != null))
{
throw new ArgumentNullException(nameof(data));
}
if (data.Length == 0)
{
throw new DivideByZeroException("length of data is zero");
}
return(ComplexStats.SumOfSquares(data) / data.Length - ComplexStats.Sum(data));
}
/// <summary>
/// Calculate the mean (average)
/// </summary>
/// <param name="data"></param>
/// <returns></returns>
public static Complex Mean(Complex[] data)
{
return(ComplexStats.Sum(data) / data.Length);
}
//--------------------------------------------------------------------------------------------
//--------------------------------------------------------------------------------------------
/// <summary>
/// Calculate the mean (average)
/// </summary>
/// <param name="data"></param>
/// <returns></returns>
static public ComplexFloat Mean(ComplexFloat[] data)
{
return(ComplexStats.Sum(data) / data.Length);
}