com.numericalmethod.suanshu.stats.distribution

Interface ProbabilityMassFunction<X>

Type Parameters:

X - the discrete random variable (domain) type

All Superinterfaces:

java.io.Serializable

public interface ProbabilityMassFunction<X>
extends java.io.Serializable

A probability mass function (pmf) is a function that gives the probability that a discrete random variable is exactly equal to some value. Suppose that X: S → R is a discrete random variable defined on a sample space S. The probability mass function f_X: R → [0, 1] for X is defined as

f_X(x) = Pr(X = x) = Pr({s ∈ S : X(s) = x})

See Also:

Wikipedia: Probability mass function

Method Summary

Modifier and Type	Method and Description
double	evaluate(X x) Compute the probability mass for a discrete realization x.

Method Detail

evaluate

double evaluate(X x)

Compute the probability mass for a discrete realization x.

Parameters:

x - a realization

Returns:

pmf(x)