Bernoulli Class | 
public class Bernoulli : IDiscreteDistribution, IUnivariateDistribution, IDistribution
The Bernoulli type exposes the following members.
| Name | Description | |
|---|---|---|
| Bernoulli(Double) | Initializes a new instance of the Bernoulli class. | |
| Bernoulli(Double, Random) | Initializes a new instance of the Bernoulli class. | 
| Name | Description | |
|---|---|---|
| Entropy | Gets the entropy of the distribution. | |
| Maximum | Gets the largest element in the domain of the distributions which can be represented by an integer. | |
| Mean | Gets the mean of the distribution. | |
| Median | Gets the median of the distribution. | |
| Minimum | Gets the smallest element in the domain of the distributions which can be represented by an integer. | |
| Mode | Gets the mode of the distribution. | |
| Modes | Gets all modes of the distribution. | |
| P | Gets the probability of generating a one. Range: 0 ≤ p ≤ 1. | |
| RandomSource | Gets or sets the random number generator which is used to draw random samples. | |
| Skewness | Gets the skewness of the distribution. | |
| StdDev | Gets the standard deviation of the distribution. | |
| Variance | Gets the variance of the distribution. | 
| Name | Description | |
|---|---|---|
| CDF | Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x). | |
| CumulativeDistribution | Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x). | |
| 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)  | |
| IsValidParameterSet | Tests whether the provided values are valid parameters for this distribution. | |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object)  | |
| PMF | Computes the probability mass (PMF) at k, i.e. P(X = k). | |
| PMFLn | Computes the log probability mass (lnPMF) at k, i.e. ln(P(X = k)). | |
| Probability | Computes the probability mass (PMF) at k, i.e. P(X = k). | |
| ProbabilityLn | Computes the log probability mass (lnPMF) at k, i.e. ln(P(X = k)). | |
| Sample | Samples a Bernoulli distributed random variable. | |
| Sample(Double) | Samples a Bernoulli distributed random variable. | |
| Sample(Random, Double) | Samples a Bernoulli distributed random variable. | |
| Samples | Samples an array of Bernoulli distributed random variables. | |
| Samples(Double) | Samples a sequence of Bernoulli distributed random variables. | |
| Samples(Int32) | Fills an array with samples generated from the distribution. | |
| Samples(Int32, Double) | Fills an array with samples generated from the distribution. | |
| Samples(Random, Double) | Samples a sequence of Bernoulli distributed random variables. | |
| Samples(Random, Int32, Double) | Fills an array with samples generated from the distribution. | |
| ToString | 
            A string representation of the distribution.
             (Overrides ObjectToString)  |