com.apama.analytics
Event StaticStatsQL


Statistical methods that are to be accessed "statically" ie not streaming.
Since:
CMF 2.0.0
Version:
9.12

Import Summary
 QuantlibPluginquantlib
 
Action Summary
 floatkurtosis(sequence<float > data)

Calculates the kurtosis of a sequence of floating-point values.
 floatmean(sequence<float > data)

Calculates the mean of a sequence of floating-point values.
 floatskew(sequence<float > data)

Calculates the skew of a sequence of floating-point values.
 floatstddev(sequence<float > data)

Calculates the standard deviation of a sequence of floating-point values.
 floatvariance(sequence<float > data)

Calculates the variance of a sequence of floating-point values.
 
Import Detail

quantlib

QuantlibPlugin quantlib

Action Detail

kurtosis

float kurtosis(sequence<float > data)
Calculates the kurtosis of a sequence of floating-point values.
Parameters:
data - A sequence of values
Returns:
The kurtosis of data

mean

float mean(sequence<float > data)
Calculates the mean of a sequence of floating-point values.
Parameters:
data - A sequence of values
Returns:
The mean of data

skew

float skew(sequence<float > data)
Calculates the skew of a sequence of floating-point values.
Parameters:
data - A sequence of values
Returns:
The skew of data

stddev

float stddev(sequence<float > data)
Calculates the standard deviation of a sequence of floating-point values.
Parameters:
data - A sequence of values
Returns:
The standard deviation of data

variance

float variance(sequence<float > data)
Calculates the variance of a sequence of floating-point values.
Parameters:
data - A sequence of values
Returns:
The variance of data