What does bernoulli distribution mean?

Definitions for bernoulli distribution
bernoul·li dis·tri·bu·tion

This dictionary definitions page includes all the possible meanings, example usage and translations of the word bernoulli distribution.

Princeton's WordNet

  1. binomial distribution, Bernoulli distributionnoun

    a theoretical distribution of the number of successes in a finite set of independent trials with a constant probability of success

Wiktionary

  1. Bernoulli distributionnoun

    A discrete probability distribution, which takes value 1 with success probability and value 0 with failure probability .

Wikipedia

  1. Bernoulli distribution

    In probability theory and statistics, 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 {\displaystyle p} and the value 0 with probability q = 1 − p {\displaystyle 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. Such questions lead to outcomes that are boolean-valued: a single bit whose value is success/yes/true/one with probability p and failure/no/false/zero with probability q. It can be used to represent a (possibly biased) coin toss where 1 and 0 would represent "heads" and "tails", respectively, and p would be the probability of the coin landing on heads (or vice versa where 1 would represent tails and p would be the probability of tails). In particular, unfair coins would have p ≠ 1 / 2. {\displaystyle p\neq 1/2.} The Bernoulli distribution is a special case of the binomial distribution where a single trial is conducted (so n would be 1 for such a binomial distribution). It is also a special case of the two-point distribution, for which the possible outcomes need not be 0 and 1.

ChatGPT

  1. bernoulli distribution

    A Bernoulli Distribution is a discrete probability distribution for a random variable which takes a binary, boolean output: 0 or 1, true or false, success or failure, etc. It is a special case of Binomial Distribution where a single trial is conducted (n=1). Its probability mass function is given by P(X = k) = pk(1-p)1-k for k ∈ {0,1} where p is the probability of success (1) and (1-p) is the probability of failure (0).

Wikidata

  1. Bernoulli distribution

    In probability theory and statistics, the Bernoulli distribution, named after Swiss scientist Jacob Bernoulli, is a discrete probability distribution, which takes value 1 with success probability and value 0 with failure probability . So if is a random variable with this distribution, we have: A classical example of a Bernoulli experiment is a single toss of a coin. The coin might come up heads with probability and tails with probability . The experiment is called fair if, indicating the origin of the terminology in betting. The probability mass function of this distribution is This can also be expressed as The expected value of a Bernoulli random variable is, and its variance is Bernoulli distribution is a special case of the Binomial distribution with . The kurtosis goes to infinity for high and low values of, but for the Bernoulli distribution has a lower kurtosis than any other probability distribution, namely −2. The Bernoulli distributions for form an exponential family. The maximum likelihood estimator of based on a random sample is the sample mean.

Matched Categories

How to pronounce bernoulli distribution?

How to say bernoulli distribution in sign language?

Numerology

  1. Chaldean Numerology

    The numerical value of bernoulli distribution in Chaldean Numerology is: 2

  2. Pythagorean Numerology

    The numerical value of bernoulli distribution in Pythagorean Numerology is: 7


Translations for bernoulli distribution

From our Multilingual Translation Dictionary

  • формула БернуллиRussian

Get even more translations for bernoulli distribution »

Translation

Find a translation for the bernoulli distribution definition in other languages:

Select another language:

  • - Select -
  • 简体中文 (Chinese - Simplified)
  • 繁體中文 (Chinese - Traditional)
  • Español (Spanish)
  • Esperanto (Esperanto)
  • 日本語 (Japanese)
  • Português (Portuguese)
  • Deutsch (German)
  • العربية (Arabic)
  • Français (French)
  • Русский (Russian)
  • ಕನ್ನಡ (Kannada)
  • 한국어 (Korean)
  • עברית (Hebrew)
  • Gaeilge (Irish)
  • Українська (Ukrainian)
  • اردو (Urdu)
  • Magyar (Hungarian)
  • मानक हिन्दी (Hindi)
  • Indonesia (Indonesian)
  • Italiano (Italian)
  • தமிழ் (Tamil)
  • Türkçe (Turkish)
  • తెలుగు (Telugu)
  • ภาษาไทย (Thai)
  • Tiếng Việt (Vietnamese)
  • Čeština (Czech)
  • Polski (Polish)
  • Bahasa Indonesia (Indonesian)
  • Românește (Romanian)
  • Nederlands (Dutch)
  • Ελληνικά (Greek)
  • Latinum (Latin)
  • Svenska (Swedish)
  • Dansk (Danish)
  • Suomi (Finnish)
  • فارسی (Persian)
  • ייִדיש (Yiddish)
  • հայերեն (Armenian)
  • Norsk (Norwegian)
  • English (English)

Word of the Day

Would you like us to send you a FREE new word definition delivered to your inbox daily?

Please enter your email address:


Citation

Use the citation below to add this definition to your bibliography:

Style:MLAChicagoAPA

"bernoulli distribution." Definitions.net. STANDS4 LLC, 2024. Web. 29 Apr. 2024. <https://www.definitions.net/definition/bernoulli+distribution>.

Discuss these bernoulli distribution definitions with the community:

0 Comments

    Are we missing a good definition for bernoulli distribution? Don't keep it to yourself...

    Image or illustration of

    bernoulli distribution

    Credit »

    Free, no signup required:

    Add to Chrome

    Get instant definitions for any word that hits you anywhere on the web!

    Free, no signup required:

    Add to Firefox

    Get instant definitions for any word that hits you anywhere on the web!

    Browse Definitions.net

    Quiz

    Are you a words master?

    »
    pass through the tissue or substance or its pores or interstices, as of gas
    A transpire
    B loom
    C affront
    D abduct

    Nearby & related entries:

    Alternative searches for bernoulli distribution: