Hypergeometric (FSharp.Stats)

Hypergeometric Type

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

Hypergeometric distribution

Static members

Static member	Description
`Hypergeometric.CDF(N) (K) (n) (x)` Full Usage: `Hypergeometric.CDF(N) (K) (n) (x)` Parameters: N : `int` - K : `int` - n : `int` - x : `float` - Returns: `float`	Computes the cumulative distribution function at x, i.e. P(X <= x). N : `int` K : `int` n : `int` x : `float` Returns: `float` Example
`Hypergeometric.CheckParam(N) (K) (n)` Full Usage: `Hypergeometric.CheckParam(N) (K) (n)` Parameters: N : `int` K : `int` n : `int`	N : `int` K : `int` n : `int`
`Hypergeometric.CheckParam_k(N) (K) (n) (k)` Full Usage: `Hypergeometric.CheckParam_k(N) (K) (n) (k)` Parameters: N : `int` K : `int` n : `int` k : `int`	N : `int` K : `int` n : `int` k : `int`
`Hypergeometric.Init(N) (K) (n)` Full Usage: `Hypergeometric.Init(N) (K) (n)` Parameters: N : `int` - K : `int` - n : `int` - Returns: `DiscreteDistribution<float, int>`	Initializes a hypergeometric distribution. The hypergeometric distribution is a discrete probability distribution that describes the probability of `k` successes (random draws for which the object drawn has a specified feature) in `n` draws, without replacement, from a finite population of size `N` that contains exactly `K` objects with that feature, wherein each draw is either a success (`1.0`) or a failure (`0.0`). The population size The number of success states in the population The number of draws N : `int` K : `int` n : `int` Returns: `DiscreteDistribution<float, int>` Example
`Hypergeometric.InvCDF(dof1) (dof2) (p)` Full Usage: `Hypergeometric.InvCDF(dof1) (dof2) (p)` Parameters: dof1 : `'a` - dof2 : `'b` - p : `'c` - Returns: `'d`	Computes the inverse cumulative distribution function (quantile function). dof1 : `'a` dof2 : `'b` p : `'c` Returns: `'d` Example
`Hypergeometric.Mean(N) (K) (n)` Full Usage: `Hypergeometric.Mean(N) (K) (n)` Parameters: N : `int` - K : `int` - n : `int` - Returns: `float`	Computes the mean. N : `int` K : `int` n : `int` Returns: `float` Example
`Hypergeometric.Mode(N) (K) (n)` Full Usage: `Hypergeometric.Mode(N) (K) (n)` Parameters: N : `int` - K : `int` - n : `int` - Returns: `int`	Computes the mode. N : `int` K : `int` n : `int` Returns: `int` Example
`Hypergeometric.PMF(N) (K) (n) (k)` Full Usage: `Hypergeometric.PMF(N) (K) (n) (k)` Parameters: N : `int` - K : `int` - n : `int` - k : `int` - Returns: `float`	Computes the probability mass function at k for P(X = k). N : `int` K : `int` n : `int` k : `int` Returns: `float` Example
`Hypergeometric.Sample(N) (K) (n)` Full Usage: `Hypergeometric.Sample(N) (K) (n)` Parameters: N : `int` - K : `int` - n : `int` - Returns: `int`	Produces a random sample using the current random number generator (from GetSampleGenerator()) and returns the number of success states `k`. N : `int` K : `int` n : `int` Returns: `int` Example
`Hypergeometric.StandardDeviation(N) (K) (n)` Full Usage: `Hypergeometric.StandardDeviation(N) (K) (n)` Parameters: N : `int` - K : `int` - n : `int` - Returns: `float`	Computes the standard deviation. N : `int` K : `int` n : `int` Returns: `float` Example
`Hypergeometric.Support(N) (K) (n)` Full Usage: `Hypergeometric.Support(N) (K) (n)` Parameters: N : `int` - K : `int` - n : `int` - Returns: `Interval<int>`	Returns the support of the hypergeometric distribution: (0., Positive Infinity). N : `int` K : `int` n : `int` Returns: `Interval<int>` Example
`Hypergeometric.ToString(N) (K) (n)` Full Usage: `Hypergeometric.ToString(N) (K) (n)` Parameters: N : `int` K : `int` n : `int` Returns: `string`	A string representation of the distribution. N : `int` K : `int` n : `int` Returns: `string`
`Hypergeometric.Variance(N) (K) (n)` Full Usage: `Hypergeometric.Variance(N) (K) (n)` Parameters: N : `int` - K : `int` - n : `int` - Returns: `float`	Computes the variance. N : `int` K : `int` n : `int` Returns: `float` Example