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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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