bernoulli distribution
1Bernoulli distribution — Probability distribution name =Bernoulli type =mass pdf cdf parameters =1>p>0, pinR support =k={0,1}, pdf = egin{matrix} q=(1 p) mbox{for }k=0 p mbox{for }k=1 end{matrix} cdf = egin{matrix} 0 mbox{for }k …
2Bernoulli distribution — noun a theoretical distribution of the number of successes in a finite set of independent trials with a constant probability of success • Syn: ↑binomial distribution • Topics: ↑statistics • Hypernyms: ↑distribution, ↑statistical distribution * *… …
3Bernoulli distribution — Statistics. See binomial distribution. [named after Jakob BERNOULLI] * * * …
4Bernoulli distribution — noun A discrete probability distribution, which takes value 1 with success probability and value 0 with failure probability …
5Bernoulli distribution theorem trial — Ber·noul·li distribution, theorem, trial (bər nooґle) (bār noo eґ) [Jakob Bernoulli, Swiss mathematician, 1654–1705] see under distribution, theorem, and trial …
6Bernoulli distribution — binomial d …
7Bernoulli — can refer to: *any one or more of the Bernoulli family of Swiss mathematicians in the eighteenth century, including: ** Daniel Bernoulli (1700–1782), developer of Bernoulli s principle ** Jakob Bernoulli (1654–1705), also known as Jean or Jacques …
8Bernoulli trial — In the theory of probability and statistics, a Bernoulli trial is an experiment whose outcome is random and can be either of two possible outcomes, success and failure .In practice it refers to a single experiment which can have one of two… …
9Bernoulli sampling — In the theory of finite population sampling, Bernoulli sampling is a sampling process where each element of the population that is sampled is subjected to an independent Bernoulli trial which determines whether the element becomes part of the… …
10Bernoulli — Famille Bernoulli Les Bernoulli qui se sont illustrés dans les mathématiques et la physique, sont issus de Nicolas Bernoulli (1623 1708), descendant d une famille ayant émigré d Anvers à Bâle à la fin du XVIe siècle. Les représentants les… …
