Binomial Distribution

(redirected from binomial)
Also found in: Dictionary, Thesaurus, Medical, Encyclopedia, Wikipedia.

Binomial Distribution

The distribution of successes and failures of a certain number of Bernoulli trials. A Bernoulli trial is a test in which there are precisely two random outcomes: success and failure. For example, if one is testing whether flipping a coin will result in heads, the two outcomes are yes (success) or no (failure). A binomial distribution, then, would be the number of heads compared to the number of tails in a given number of flips. It is also called a Bernoulli distribution.
References in periodicals archive ?
4) of the negative binomial distribution yield the estimate that 8% of students account for 48% of self-reported cheating.
where k is the k exponent of negative binomial distribution, m is the mean, and P(x) is the probability of x individuals in a sampling unit.
Neutrosophic Binomial Distribution: The neutrosophic binomial random variable 'x' is then defined as the number of success when we perform the experiment n [greater than or equal to] 1 times.
The core of the framework is the damage-cycle (D-N) diagram [7], which consists of the following major constituents: (1) test data, either test-to-failure, binomial, degradation, or combined, for estimating the continuous probabilistic distribution function.
As mentioned above, Poisson and negative binomial models are the main methods of count data analyses, and the basic Poisson model is presented in
Use of Poisson and negative binomial regression models depends on the nature of the distribution of the dependents variables [30].
Simulation of Bernoulli and Binomial random variables
The primary contribution herein centers on using the Generalized Binomial Distribution (GBD) to provide a new and important perspective about the luck versus skill mutual fund debate.
En la seccion 3 se desarrolla la propuesta metodologica para el tratamiento y valoracion de proyectos de inversion en condiciones de ambiguedad: el modelo binomial borroso.