pm_distBern Module Reference

This module contains classes and procedures for generating Bernoulli-distributed random numbers.
More...

Data Types
type	distBern_type
	This is the derived type for signifying distributions that are of type Bernoulli as defined in the description of pm_distBern. More...
interface	getBernRand
	Generate and return a scalar or array of rank 1 of length size or the same rank and size as p of Bernoulli-distributed random values (0 or 1) with probability of getting 1 set by the input success probability p. More...
interface	isHead
	Generate and return a scalar (or a vector of length size or an array of the same shape as the input p) containing the odds of getting a head in a single (or a series) of coin-flipping experiment(s). More...
interface	setBernRand
	Return a scalar or array of arbitrary rank of Bernoulli-distributed random values (0 or 1), with the specified input success probability p. More...

Variables
character(*, SK), parameter	MODULE_NAME = SK_"@pm_distBern"

Detailed Description

This module contains classes and procedures for generating Bernoulli-distributed random numbers.

The Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, is the discrete probability distribution of a random variable which takes the value \(1\) with probability \(p\) and the value \(0\) with probability \(q = 1-p\).

Less formally, it can be thought of as a model for the set of possible outcomes of any single experiment that asks a yes–no question.
The Bernoulli distribution is a special case of the Binomial distribution with \(n = 1\) (with \(n\) the number of trials).
It is also sometimes called the two-point distribution because of having only two possible outcomes.

Test:

test_pm_distBern

Final Remarks ⛓

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Copyright

Computational Data Science Lab

Author:

Amir Shahmoradi, Oct 16, 2009, 11:14 AM, Michigan

Variable Documentation

MODULE_NAME

character(*, SK), parameter pm_distBern::MODULE_NAME = SK_"@pm_distBern"

Definition at line 45 of file pm_distBern.F90.