 | RunningStatistics Class |
Running statistics accumulator, allows updating by adding values
or by combining two accumulators.
Inheritance HierarchyNamespace: MathNet.Numerics.Statistics
Assembly: MathNet.Numerics (in MathNet.Numerics.dll) Version: 3.7
SyntaxC#
public class RunningStatistics
The RunningStatistics type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | RunningStatistics | Initializes a new instance of the RunningStatistics class |
| RunningStatistics(IEnumerableDouble) | Initializes a new instance of the RunningStatistics class |
Properties| Name | Description | |
|---|---|---|
 | Count |
Gets the total number of samples.
|
| Kurtosis |
Estimates the unbiased population kurtosis from the provided samples.
Uses a normalizer (Bessel's correction; type 2).
Returns NaN if data has less than four entries or if any entry is NaN.
|
| Maximum |
Returns the maximum value in the sample data.
Returns NaN if data is empty or if any entry is NaN.
|
| Mean |
Evaluates the sample mean, an estimate of the population mean.
Returns NaN if data is empty or if any entry is NaN.
|
| Minimum |
Returns the minimum value in the sample data.
Returns NaN if data is empty or if any entry is NaN.
|
| PopulationKurtosis |
Evaluates the population kurtosis from the full population.
Does not use a normalizer and would thus be biased if applied to a subset (type 1).
Returns NaN if data has less than three entries or if any entry is NaN.
|
| PopulationSkewness |
Evaluates the population skewness from the full population.
Does not use a normalizer and would thus be biased if applied to a subset (type 1).
Returns NaN if data has less than two entries or if any entry is NaN.
|
| PopulationStandardDeviation |
Evaluates the standard deviation from the provided full population.
On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
Returns NaN if data is empty or if any entry is NaN.
|
| PopulationVariance |
Evaluates the variance from the provided full population.
On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
Returns NaN if data is empty or if any entry is NaN.
|
| Skewness |
Estimates the unbiased population skewness from the provided samples.
Uses a normalizer (Bessel's correction; type 2).
Returns NaN if data has less than three entries or if any entry is NaN.
|
| StandardDeviation |
Estimates the unbiased population standard deviation from the provided samples.
On a dataset of size N will use an N-1 normalizer (Bessel's correction).
Returns NaN if data has less than two entries or if any entry is NaN.
|
| Variance |
Estimates the unbiased population variance from the provided samples.
On a dataset of size N will use an N-1 normalizer (Bessel's correction).
Returns NaN if data has less than two entries or if any entry is NaN.
|
Methods| Name | Description | |
|---|---|---|
 | Combine |
Create a new running statistics over the combined samples of two existing running statistics.
|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| Push |
Update the running statistics by adding another observed sample (in-place).
|
| PushRange |
Update the running statistics by adding a sequence of observed sample (in-place).
|
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Operators
See Also