Collective2 Explorer
Collective2 Explorer
MathNet.Numerics Namespaces
MathNet.Numerics.Statistics
Statistics Class
Statistics Methods
Covariance Method
EmpiricalCDF Method
EmpiricalCDFFunc Method
EmpiricalInvCDF Method
EmpiricalInvCDFFunc Method
Entropy Method
FiveNumberSummary Method
InterquartileRange Method
Kurtosis Method
LowerQuartile Method
Maximum Method
Mean Method
MeanStandardDeviation Method
MeanVariance Method
Median Method
Minimum Method
MovingAverage Method
OrderStatistic Method
OrderStatisticFunc Method
Percentile Method
PercentileFunc Method
PopulationCovariance Method
PopulationKurtosis Method
PopulationSkewness Method
PopulationSkewnessKurtosis Method
PopulationStandardDeviation Method
PopulationVariance Method
Quantile Method
QuantileCustom Method
QuantileCustomFunc Method
QuantileFunc Method
QuantileRank Method
QuantileRankFunc Method
Ranks Method
RootMeanSquare Method
Skewness Method
SkewnessKurtosis Method
StandardDeviation Method
UpperQuartile Method
Variance Method
Statistics
SkewnessKurtosis Method
Estimates the unbiased population skewness and kurtosis from the provided samples in a single pass. Uses a normalizer (Bessel's correction; type 2).
Namespace:
MathNet.Numerics.Statistics
Assembly:
MathNet.Numerics (in MathNet.Numerics.dll) Version: 3.7
Syntax
C#
Copy
public
static
Tuple
<
double
,
double
>
SkewnessKurtosis
(
this
IEnumerable
<
double
>
samples
)
Parameters
samples
Type:
System.Collections.Generic
IEnumerable
Double
A subset of samples, sampled from the full population.
Return Value
Type:
Tuple
Double
,
Double
Usage Note
In Visual Basic and C#, you can call this method as an instance method on any object of type
IEnumerable
Double
. When you use instance method syntax to call this method, omit the first parameter. For more information, see
Extension Methods (Visual Basic)
or
Extension Methods (C# Programming Guide)
.
See Also
Reference
Statistics Class
MathNet.Numerics.Statistics Namespace