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Normal Class |
Normal distribution functions.
Inheritance HierarchySystemObject
Accord.MathNormal
Accord.MathNormal
Namespace: Accord.Math
Assembly: Accord.Math (in Accord.Math.dll) Version: 3.8.0
SyntaxThe Normal type exposes the following members.
Methods| Name | Description | |
|---|---|---|
  | Bivariate |
Bivariate normal cumulative distribution function.
|
| BivariateComplemented |
Complemented bivariate normal cumulative distribution function.
|
| Complemented |
Complemented cumulative distribution function.
|
| Derivative |
First derivative of Normal cumulative
distribution function, also known as the Normal density
function.
|
| Function |
Normal cumulative distribution function.
|
| Gaussian |
1-D Gaussian function.
|
| Gaussian2D |
2-D Gaussian function.
|
| HighAccuracyComplemented |
High-accuracy Complementary normal distribution function.
|
| HighAccuracyFunction |
High-accuracy Normal cumulative distribution function.
|
| Inverse |
Normal (Gaussian) inverse cumulative distribution function.
|
| Kernel |
1-D Gaussian kernel.
|
| Kernel2D |
2-D Gaussian kernel.
|
| Log |
Normal cumulative distribution function.
|
| LogDerivative |
Log of the first derivative of Normal cumulative
distribution function, also known as the Normal density function.
|
Remarks
References:
- Cephes Math Library, http://www.netlib.org/cephes/
- George Marsaglia, Evaluating the Normal Distribution, 2004. Available in: http://www.jstatsoft.org/v11/a05/paper
ExamplesThe following example shows the normal usages for the Normal functions:
// Compute standard precision functions double phi = Normal.Function(0.42); // 0.66275727315175048 double phic = Normal.Complemented(0.42); // 0.33724272684824952 double inv = Normal.Inverse(0.42); // -0.20189347914185085 // Compute at the limits double phi = Normal.Function(16.6); // 1.0 double phic = Normal.Complemented(16.6); // 3.4845465199504055E-62
See Also