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Normal Methods |
The Normal type exposes the following members.
| Name | Description | |
|---|---|---|
| Bivariate |
Bivariate normal cumulative distribution function.
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| BivariateComplemented |
Complemented bivariate normal cumulative distribution function.
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| Complemented |
Complemented cumulative distribution function.
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| Derivative |
First derivative of Normal cumulative
distribution function, also known as the Normal density
function.
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| Function |
Normal cumulative distribution function.
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| Gaussian |
1-D Gaussian function.
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| Gaussian2D |
2-D Gaussian function.
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| HighAccuracyComplemented |
High-accuracy Complementary normal distribution function.
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| HighAccuracyFunction |
High-accuracy Normal cumulative distribution function.
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| Inverse |
Normal (Gaussian) inverse cumulative distribution function.
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| Kernel |
1-D Gaussian kernel.
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| Kernel2D |
2-D Gaussian kernel.
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| Log |
Normal cumulative distribution function.
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| LogDerivative |
Log of the first derivative of Normal cumulative
distribution function, also known as the Normal density function.
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