Cdf.Binomial Method

Evaluates the binomial cumulative probability distribution function.

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public static double Binomial(
	int k,
	int n,
	double pin
)

Public Shared Function Binomial ( 
	k As Integer,
	n As Integer,
	pin As Double
) As Double

public:
static double Binomial(
	int k, 
	int n, 
	double pin
)

static member Binomial : 
        k : int * 
        n : int * 
        pin : float -> float

Parameters

k: Type: System.Int32
The int argument for which the binomial distribution function is to be evaluated.
n: Type: System.Int32
The int number of Bernoulli trials.
pin: Type: System.Double
A double scalar value representing the probability of success on each independent trial.

Return Value

Type: Double
A double scalar value representing the probability that a binomial random variable takes a value less than or equal to k. This value is the probability that k or fewer successes occur in n independent Bernoulli trials, each of which has a pin probability of success.

Remarks

Method Cdf.Binomial evaluates the distribution function of a binomial random variable with parameters n and p with p=pin. It does this by summing probabilities of the random variable taking on the specific values in its range. These probabilities are computed by the recursive relationship

$\Pr \left( {X = j} \right) = \frac{{\left( {n + 1 - j} \right)p}}{{j\left( {1 - p} \right)}}\Pr \left( {X = j - 1} \right)$

To avoid the possibility of underflow, the probabilities are computed forward from 0, if k is not greater than n times p, and are computed backward from n, otherwise. The smallest positive machine number, $\varepsilon$ , is used as the starting value for summing the probabilities, which are rescaled by $(1 - p)^n\varepsilon$ if forward computation is performed and by $p^n\varepsilon$ if backward computation is done. For the special case of p = 0, Cdf.Binomial is set to 1; and for the case p = 1, Cdf.Binomial is set to 1 if k = n and to 0 otherwise.

Reference

Cdf Class

Imsl.Stat Namespace

Other Resources

Example