Difference between revisions of "Language/Multiple-languages/Vocabulary/Probability-Theory"

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| binomial distribution || binomial coefficient <number theory>; discrete probability distribution
| characteristic function || probability space; random variable; probability distribution
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| Chebyshev's inequality, Bienaymé–Chebyshev inequality || probability distribution
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| determinism ||
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| dependent variable || variable <algebra>
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| characteristic function || probability space; random variable; probability distribution
| deterministic system || determinism
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| Chebyshev's inequality, Bienaymé–Chebyshev inequality || probability distribution
| elementary event, atomic event, sample point || event, outcome, sample space
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| determinism ||  
| event || subset <mathematical logic>; sample space
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| dependent variable || variable <algebra>
| experiment || set <mathematical logic>; outcome; randomness
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| deterministic system || determinism
| independent variable || variable <algebra>
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| discrete probability distribution  || probability distribution
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| elementary event, atomic event, sample point || event, outcome, sample space
| jointly exhaustive, collectively exhaustive || set <mathematical logic>; event
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| event || subset <mathematical logic>; sample space
| law of large numbers || expected value
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| experiment || set <mathematical logic>; outcome; randomness
| law of total probability || marginal distribution, conditional probability
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| independent variable || variable <algebra>
| Markov chain, Markov process || sequence; event; stochastic process
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| indeterminism ||  
| outcome || experiment
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| jointly exhaustive, collectively exhaustive || set <mathematical logic>; event
| probability axioms, Kolmogorov axioms ||  
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| law of large numbers || expected value
| probability measure || measure <mathematical analysis>; real-valued function; probability space
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| law of total probability || marginal distribution, conditional probability
| random variable || dependent variable; randomness; outcome
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| Markov chain, Markov process || sequence; event; stochastic process
| randomness ||  
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| normal distribution, Gauss distribution, Laplace–Gauss distribution || probability distribution; random variable; arithmetic mean; expected value
| sample space || experiment
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| outcome || experiment
| stochastic process, random process || random variable
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| probability axioms, Kolmogorov axioms ||  
| tree diagram || probability space; event; independence
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| probability distribution || function <mathematical logic>; outcome
| trial || experiment
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| probability measure || measure <mathematical analysis>; real-valued function; probability space
| uncorrelatedness || covariance
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| random variable || dependent variable; randomness; outcome
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{| class="wikitable sortable"
|+ probability distribution
! eng-Latn-US: concept !! eng-Latn-US: prerequisite
! cmn-Hans-CN: 概念 !! cmn-Hans-CN: 前提
! cmn-Latn.Pinyin-CN: gàiniàn !! cmn-Latn.Pinyin-CN: qiántí
! deu-Latn-DE: Begriff [m] !! deu-Latn-DE: Voraussetzung [f]
! fra-Latn-FR: concept [m] !! fra-Latn-FR: préalable [m]
! jpn-Jpan-JP: 概念 !! jpn-Jpan-JP: 前提
! jpn-Hrkt-JP: が↓いねん !! jpn-Hrkt-JP: ぜ↑んてい
! rus-Cyrl-RU: конце́пция !! rus-Cyrl-RU: предпосы́лка
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| randomness ||  
| probability distribution || function <mathematical logic>; outcome
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| sample space || experiment
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| stochastic process, random process || random variable
| binomial distribution || binomial coefficient <number theory>; discrete probability distribution
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| tree diagram || probability space; event; independence
| discrete probability distribution  || probability distribution
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| trial || experiment
| logistic distribution || probability distribution <probability theory>
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| uncorrelatedness || covariance
| normal distribution, Gauss distribution, Laplace–Gauss distribution || probability distribution; random variable; arithmetic mean; expected value
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Revision as of 22:36, 12 February 2022

This is a part of the Sci–Tech Index, a project for science and technology learners.

In progress.

eng-Latn-US: concept eng-Latn-US: prerequisite cmn-Hans-CN: 概念 cmn-Hans-CN: 前提 cmn-Latn.Pinyin-CN: gàiniàn cmn-Latn.Pinyin-CN: qiántí deu-Latn-DE: Begriff [m] deu-Latn-DE: Voraussetzung [f] fra-Latn-FR: concept [m] fra-Latn-FR: préalable [m] jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 jpn-Hrkt-JP: が↓いねん jpn-Hrkt-JP: ぜ↑んてい rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
probability theory 概率论 gàilǜ lùn Wahrscheinlichkeitstheorie [f], Wahrscheinlichkeitsrechnung [f], Probabilistik [f] théorie [f] des probabilités 確率論 か↑くりつ↓ろん тео́рия вероя́тностей
eng-Latn-US: concept eng-Latn-US: prerequisite cmn-Hans-CN: 概念 cmn-Hans-CN: 前提 cmn-Latn.Pinyin-CN: gàiniàn cmn-Latn.Pinyin-CN: qiántí deu-Latn-DE: Begriff [m] deu-Latn-DE: Voraussetzung [f] fra-Latn-FR: concept [m] fra-Latn-FR: préalable [m] jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 jpn-Hrkt-JP: が↓いねん jpn-Hrkt-JP: ぜ↑んてい rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
arithmetic mean
Bayes' theorem, Bayes' law, Bayes' rule, Bayes–Price theorem
Bernoulli process random variable; stochastic process
characteristic function probability space; random variable; probability distribution
Chebyshev's inequality, Bienaymé–Chebyshev inequality probability distribution
determinism
dependent variable variable <algebra>
deterministic system determinism
elementary event, atomic event, sample point event, outcome, sample space
event subset <mathematical logic>; sample space
experiment set <mathematical logic>; outcome; randomness
independent variable variable <algebra>
indeterminism
jointly exhaustive, collectively exhaustive set <mathematical logic>; event
law of large numbers expected value
law of total probability marginal distribution, conditional probability
Markov chain, Markov process sequence; event; stochastic process
outcome experiment
probability axioms, Kolmogorov axioms
probability measure measure <mathematical analysis>; real-valued function; probability space
random variable dependent variable; randomness; outcome
randomness
sample space experiment
stochastic process, random process random variable
tree diagram probability space; event; independence
trial experiment
uncorrelatedness covariance
probability distribution
eng-Latn-US: concept eng-Latn-US: prerequisite cmn-Hans-CN: 概念 cmn-Hans-CN: 前提 cmn-Latn.Pinyin-CN: gàiniàn cmn-Latn.Pinyin-CN: qiántí deu-Latn-DE: Begriff [m] deu-Latn-DE: Voraussetzung [f] fra-Latn-FR: concept [m] fra-Latn-FR: préalable [m] jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 jpn-Hrkt-JP: が↓いねん jpn-Hrkt-JP: ぜ↑んてい rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
probability distribution function <mathematical logic>; outcome
binomial distribution binomial coefficient <number theory>; discrete probability distribution
discrete probability distribution probability distribution
logistic distribution probability distribution <probability theory>
normal distribution, Gauss distribution, Laplace–Gauss distribution probability distribution; random variable; arithmetic mean; expected value

1024px-Dice Distribution (bar).svg.png

* Appendix *

Adjective & Adjective Phrase; Verb & Verb Phrase

eng-Latn-US: concept eng-Latn-US: prerequisite cmn-Hans-CN: 概念 cmn-Hans-CN: 前提 cmn-Latn.Pinyin-CN: gàiniàn cmn-Latn.Pinyin-CN: qiántí deu-Latn-DE: Begriff [m] deu-Latn-DE: Voraussetzung [f] fra-Latn-FR: concept [m] fra-Latn-FR: préalable [m] jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 jpn-Hrkt-JP: が↓いねん jpn-Hrkt-JP: ぜ↑んてい rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
independent independence
pairwise independent pairwise independence

Symbol

symbol eng-Latn-US: concept cmn-Hans-CN: 概念 cmn-Latn.Pinyin-CN: gàiniàn deu-Latn-DE: Begriff [m] fra-Latn-FR: concept [m] jpn-Jpan-JP: 概念 jpn-Hrkt-JP: が↓いねん rus-Cyrl-RU: конце́пция
p probability
S, Ω, U sample space

Process

eng-Latn-US: process eng-Latn-US: constituent cmn-Hans-CN: 过程 cmn-Hans-CN: 构件 cmn-Latn.Pinyin-CN: guòchéng cmn-Latn.Pinyin-CN: gòujiàn deu-Latn-DE: Prozess [m] deu-Latn-DE: Bestandteil [m] fra-Latn-FR: procès [m] fra-Latn-FR: composant [m] jpn-Jpan-JP: 過程 jpn-Jpan-JP: 構材 jpn-Hrkt-JP: か↑てい jpn-Hrkt-JP: こ↑うざい rus-Cyrl-RU: проце́сс rus-Cyrl-RU: соста́вная часть

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