Stats.Geometric Mean Method
Definition
Namespace: Numerics.NET.Statistics
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.9.0
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.9.0
Overload List
| Geometric | Returns the geometric mean of the elements of an array. |
| Geometric | Returns the geometric mean of the elements of an array. |
| Geometric | Returns the geometric mean of the elements of a vector. |
| Geometric | Returns the geometric mean of the elements of a numerical variable. |
GeometricMean(Double[])
Returns the geometric mean of the elements of an array.
public static double GeometricMean(
double[] values
)Parameters
Return Value
DoubleThe geometric mean of the elements of values.
Exceptions
| Argument | values is null. |
| Invalid | An observation is negative. |
GeometricMean(Int32[])
Returns the geometric mean of the elements of an array.
public static double GeometricMean(
int[] values
)Parameters
Return Value
DoubleThe geometric mean of the elements of values.
Remarks
The geometric mean is a Double value.
Exceptions
| Argument | values is null. |
| Invalid | One or more of the values values is negative. |
GeometricMean(Vector<Double>)
Returns the geometric mean of the elements of a vector.
public static double GeometricMean(
this Vector<double> values
)Parameters
Return Value
DoubleThe geometric mean of the elements of values.
Usage Note
In Visual Basic and C#, you can call this method as an instance method on any object of type Vector<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).Exceptions
| Argument | values is null. |
| Invalid | One or more of the values values is negative. |
GeometricMean<T>(Vector<T>)
Returns the geometric mean of the elements of a numerical variable.
public static double GeometricMean<T>(
Vector<T> values
)
Parameters
Type Parameters
- T
Return Value
DoubleThe geometric mean of the elements of values.
Remarks
Missing-aware vectors exclude missing observations. Empty observed samples return one. A zero observation returns zero unless NaN or positive infinity is also present, in which case the result is NaN. Otherwise positive infinity returns positive infinity. Finite positive samples are evaluated without overflowing or underflowing their intermediate product.
Exceptions
| Argument | values is null. |
| Invalid | One or more of the values values is negative. |