Exponential |
public class ExponentialDistribution : ProbabilityDistribution
The ExponentialDistribution type exposes the following members.
| Name | Description | |
|---|---|---|
| ExponentialDistribution | Initializes a new instance of the ExponentialDistribution class. | |
| ExponentialDistribution(Double, RandomGenerator) | Initializes a new instance of the ExponentialDistribution 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. |
| 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 | |
|---|---|---|
| generator | Pointer to generator. (Inherited from ProbabilityDistribution) | |
| m | Cached mean and scaling factor used by the exponential distribution implementation. | |
| scale | Cached mean and scaling factor used by the exponential distribution implementation. |
Return exponentially distributed random deviates according to:
p (x) = 1/m * exp(-x/m) dx for x >= 0
m
= 0 otherwise
The probability density has mean = stdev = m.