Bernoulli (FSharp.Stats)

Bernoulli Type

Namespace: FSharp.Stats.Distributions.Discrete
Assembly: FSharp.Stats.dll
Base Type: obj

Bernoulli distribution.

Static members

Static member	Description
`Bernoulli.CDF(p) (x)` Full Usage: `Bernoulli.CDF(p) (x)` Parameters: p : `float` - x : `float` - Returns: `float`	Computes the cumulative distribution function. P(X >= k) p : `float` x : `float` Returns: `float` Example
`Bernoulli.CheckParam(p)` Full Usage: `Bernoulli.CheckParam(p)` Parameters: p : `float`	p : `float`
`Bernoulli.Estimate(observations, ?weights)` Full Usage: `Bernoulli.Estimate(observations, ?weights)` Parameters: observations : `float[]` ?weights : `float[]` Returns: `DiscreteDistribution<float, int>`	Estimates a new Bernoulli distribution from a given set of observations. observations : `float[]` ?weights : `float[]` Returns: `DiscreteDistribution<float, int>`
`Bernoulli.Fit(observations, ?weights)` Full Usage: `Bernoulli.Fit(observations, ?weights)` Parameters: observations : `float[]` ?weights : `float[]` Returns: `float`	Fits the underlying distribution to a given set of observations. observations : `float[]` ?weights : `float[]` Returns: `float`
`Bernoulli.Init(p)` Full Usage: `Bernoulli.Init(p)` Parameters: p : `float` - Returns: `DiscreteDistribution<float, int>`	Initializes a uniform distribution p : `float` Returns: `DiscreteDistribution<float, int>` Example
`Bernoulli.InvCDF(p) (x)` Full Usage: `Bernoulli.InvCDF(p) (x)` Parameters: p : `float` - x : `'a` - Returns: `'b`	Computes the inverse cumulative distribution function (quantile function). p : `float` x : `'a` Returns: `'b` Example
`Bernoulli.Mean(p)` Full Usage: `Bernoulli.Mean(p)` Parameters: p : `float` - Returns: `float`	Computes the mean. p : `float` Returns: `float` Example
`Bernoulli.Mode(p)` Full Usage: `Bernoulli.Mode(p)` Parameters: p : `float` - Returns: `int`	Computes the mode. p : `float` Returns: `int` Example
`Bernoulli.PMF(p) (x)` Full Usage: `Bernoulli.PMF(p) (x)` Parameters: p : `float` - x : `int` - Returns: `float`	Computes the probability density function. p : `float` x : `int` Returns: `float` Example
`Bernoulli.Sample(p)` Full Usage: `Bernoulli.Sample(p)` Parameters: p : `float` - Returns: `int`	Produces a random sample using the current random number generator (from GetSampleGenerator()). p : `float` Returns: `int` Example
`Bernoulli.StandardDeviation(p)` Full Usage: `Bernoulli.StandardDeviation(p)` Parameters: p : `float` - Returns: `float`	Computes the standard deviation. p : `float` Returns: `float` Example
`Bernoulli.Support(p)` Full Usage: `Bernoulli.Support(p)` Parameters: p : `float` - Returns: `Interval<int>`	Returns the support of the bernoulli distribution: {0, 1}. p : `float` Returns: `Interval<int>` Example
`Bernoulli.ToString(p)` Full Usage: `Bernoulli.ToString(p)` Parameters: p : `float` - Returns: `string`	A string representation of the distribution. p : `float` Returns: `string` Example
`Bernoulli.Variance(p)` Full Usage: `Bernoulli.Variance(p)` Parameters: p : `float` - Returns: `float`	Computes the variance. p : `float` Returns: `float` Example