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RunningNormalStatistics Class |
Running (normal) statistics.
Inheritance HierarchySystemObject
Accord.Statistics.RunningRunningNormalStatistics
Accord.Statistics.RunningRunningNormalStatistics
Namespace: Accord.Statistics.Running
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax[SerializableAttribute] public class RunningNormalStatistics : IRunningStatistics, IRunning<double>
The RunningNormalStatistics type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | RunningNormalStatistics |
Initializes a new instance of the RunningNormalStatistics class.
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Properties| Name | Description | |
|---|---|---|
 | Count |
Gets the current count of values seen.
|
| Mean |
Gets the current mean of the gathered values.
|
| StandardDeviation |
Gets the current standard deviation of the gathered values.
|
| Variance |
Gets the current variance of the gathered values.
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Methods| Name | Description | |
|---|---|---|
| Clear |
Clears all measures previously computed.
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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.) |
| Push |
Registers the occurrence of a value.
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| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Extension Methods| Name | Description | |
|---|---|---|
 | HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) |
| IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) |
| To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
| ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
RemarksThis class computes the running variance using Welford’s method. Running statistics need only one pass over the data, and do not require all data to be available prior to computing.
References:
- John D. Cook. Accurately computing running variance. Available on: http://www.johndcook.com/standard_deviation.html
- Chan, Tony F.; Golub, Gene H.; LeVeque, Randall J. (1983). Algorithms for Computing the Sample Variance: Analysis and Recommendations. The American Statistician 37, 242-247.
- Ling, Robert F. (1974). Comparison of Several Algorithms for Computing Sample Means and Variances. Journal of the American Statistical Association, Vol. 69, No. 348, 859-866.
See Also