Normal |
public class NormalDistribution : ProbabilityDistribution
The NormalDistribution type exposes the following members.
| Name | Description | |
|---|---|---|
| NormalDistribution | Initializes a new instance of the NormalDistribution class. | |
| NormalDistribution(Double, Double, RandomGenerator) | Initializes a new instance of the NormalDistribution class. |
| Name | Description | |
|---|---|---|
| Generator | Returns the random generator used by the distribution to generate the random values. (Inherited from ProbabilityDistribution) | |
| Mean | Gets the mean of the distribution. | |
| Stdev | Gets the standard deviation of the distribution. |
| Name | Description | |
|---|---|---|
| CDF |
Gives the cumulative probability at x.
(Overrides ProbabilityDistributionCDF(Double)) | |
| 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) | |
| NextDouble |
Generates a random value distributed according to the distribution.
(Overrides ProbabilityDistributionNextDouble) | |
|
Gives the probability density at x.
(Overrides ProbabilityDistributionPDF(Double)) | ||
| Quantile |
Gives the pth quantile of the distribution.
(Overrides ProbabilityDistributionQuantile(Double)) | |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
| Name | Description | |
|---|---|---|
| cached | Cached flag indicating whether a value is available in the Box-Muller cache. | |
| cacheval | Cached parameters and coefficients used by the normal distribution implementation. | |
| generator | Pointer to generator. (Inherited from ProbabilityDistribution) | |
| mu | Cached parameters and coefficients used by the normal distribution implementation. | |
| scale | Cached parameters and coefficients used by the normal distribution implementation. | |
| sigma | Cached parameters and coefficients used by the normal distribution implementation. |
Return normal (Gaussian) distributed random deviates
with mean "m" and standard deviation "s" according to the density:
2
1 (x-m)
p (x) dx = ------------ exp( - ------- ) dx
m,s sqrt(2 pi) s 2 s*s