MayaFlux 0.1.0
Digital-First Multimedia Processing Framework
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◆ StatisticalMethod

enum class MayaFlux::Yantra::StatisticalMethod : uint8_t
strong

Supported statistical computation methods.

Enumerator
MEAN 

Arithmetic mean.

VARIANCE 

Population or sample variance.

STD_DEV 

Standard deviation.

SKEWNESS 

Third moment - asymmetry measure.

KURTOSIS 

Fourth moment - tail heaviness.

MIN 

Minimum value.

MAX 

Maximum value.

MEDIAN 

50th percentile

RANGE 

Max - min.

PERCENTILE 

Arbitrary percentile (requires parameter)

MODE 

Most frequent value.

MAD 

Median Absolute Deviation.

CV 

Coefficient of Variation (std_dev/mean)

SUM 

Sum of all values.

COUNT 

Number of values.

RMS 

Root Mean Square.

ENTROPY 

Shannon entropy for discrete data.

ZSCORE 

Z-score normalization.

Definition at line 36 of file StatisticalAnalyzer.hpp.

36 : uint8_t {
37 MEAN, ///< Arithmetic mean
38 VARIANCE, ///< Population or sample variance
39 STD_DEV, ///< Standard deviation
40 SKEWNESS, ///< Third moment - asymmetry measure
41 KURTOSIS, ///< Fourth moment - tail heaviness
42 MIN, ///< Minimum value
43 MAX, ///< Maximum value
44 MEDIAN, ///< 50th percentile
45 RANGE, ///< Max - min
46 PERCENTILE, ///< Arbitrary percentile (requires parameter)
47 MODE, ///< Most frequent value
48 MAD, ///< Median Absolute Deviation
49 CV, ///< Coefficient of Variation (std_dev/mean)
50 SUM, ///< Sum of all values
51 COUNT, ///< Number of values
52 RMS, ///< Root Mean Square
53 ENTROPY, ///< Shannon entropy for discrete data
54 ZSCORE ///< Z-score normalization
55};
@ RMS
Root Mean Square energy.
@ PERCENTILE
Arbitrary percentile (requires parameter)
@ KURTOSIS
Fourth moment - tail heaviness.
@ ZSCORE
Z-score normalization.
@ ENTROPY
Shannon entropy for discrete data.
@ MAD
Median Absolute Deviation.
@ CV
Coefficient of Variation (std_dev/mean)
@ VARIANCE
Population or sample variance.
@ SKEWNESS
Third moment - asymmetry measure.