Weighted |
public class WeightedDescriptiveStatistics
The WeightedDescriptiveStatistics type exposes the following members.
Name | Description | |
---|---|---|
![]() | WeightedDescriptiveStatistics(IEnumerableTupleDouble, Double, Boolean) | Initializes a new instance of the WeightedDescriptiveStatistics class. |
![]() | WeightedDescriptiveStatistics(IEnumerableValueTupleDouble, Double, Boolean) | Initializes a new instance of the WeightedDescriptiveStatistics class. |
Name | Description | |
---|---|---|
![]() | Count | Gets the size of the sample. |
![]() | EffectiveSampleSize | The Kish's effective sample size https://en.wikipedia.org/wiki/Effective_sample_size |
![]() | Kurtosis | Gets the unbiased estimator of the population excess kurtosis using the G_2 estimator. |
![]() | Maximum | Gets the maximum sample value. |
![]() | Mean | Gets the sample mean. |
![]() | Minimum | Gets the minimum sample value. |
![]() | Skewness | Gets the unbiased estimator of the population skewness. |
![]() | StandardDeviation | Gets the unbiased population standard deviation (on a dataset of size N will use an N-1 normalizer). |
![]() | TotalWeight | Gets the total weight. When used with unweighted data, returns the number of samples. |
![]() | Variance | Gets the unbiased population variance estimator (on a dataset of size N will use an N-1 normalizer). |
Name | Description | |
---|---|---|
![]() | 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) |
![]() | ToString | Returns a string that represents the current object. (Inherited from Object) |