Weighted |
public class WeightedDescriptiveStatistics
The WeightedDescriptiveStatistics type exposes the following members.
Name | Description | |
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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 | |
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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 | |
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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) |