.FloatArrayStat (gb.gsl)

This virtual class gives access to the statistics functions of the gsl library.

See the gsl documentation for more details.

Metodi

AbsDev	Return the absolute deviation from the mean of the array data.
AutoCorrelation	Return the lag-1 autocorrelation of the array data.
Correlation	This function efficiently computes the Pearson correlation coefficient between the current array and the Other array, which must both be the same size.
Covariance	Return the covariance of the array data and of the Other array data (that must be the same size).
Gastwirth	Return the Gastwirth location estimator of the array data.
Kurtosis	Return the kurtosis of the array data.
Mad	This function returns the median absolute deviation of the data.
Max	Return the maximum value of the array data.
Mean	Return the arithmetic mean of the array data.
Median	Return the median value of the array data.
Min	Return the minimum value of the array data.
Qn	This function returns the Qn statistic of the current array data. The elements of the array must be in ascending numerical order.
Quantile	This function returns a quantile value of the current data array. The elements of the array must be in ascending numerical order.
Skew	Return the skewness of the array data.
Sn	This function returns the Sn statistic of the current array data. The elements of the array must be in ascending numerical order.
StdDev	Return the standard deviation of the array data, i.e. the square root of its variance.
TrimmedMean	Return the trimmed mean of the array data.
Tss	Return the total sum of squares of array data about the mean.
Variance	Return the estimated, or sample, variance of the array data.