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

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In progress.
In progress.


{| class="wikitable"
! 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-Hrkt-JP: がいねん !! jpn-Hrkt-JP: ぜんたい
! jpn-Jpan-JP: 概念 !! jpn-Jpan-JP: 前提
! rus-Cyrl-RU: конце́пция !! rus-Cyrl-RU: предпосы́лка
|-
| probability theory ||
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|}
{| class="wikitable"
{| class="wikitable"
! eng-Latn-US: concept !! eng-Latn-US: prerequisite
! eng-Latn-US: concept !! eng-Latn-US: prerequisite
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| arithmetic mean ||  
| arithmetic mean ||  
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| binomial distribution || binomial coefficient <number theory>, discrete probability distribution
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| characteristic function (probability theory) || probability space, random variable, probability distribution
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| deterministic system || determinism
| deterministic system || determinism
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| discrete probability distribution  || probability distribution
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| jointly exhaustive, collectively exhaustive || set <set theory>, event (probability theory)
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| Markov chain, Markov process || sequence, event (probability theory), stocastic process
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| normal distribution, Gauss distribution, Laplace–Gauss distribution || probability distribution, random variable, arithmetic mean, expected value
| normal distribution, Gauss distribution, Laplace–Gauss distribution || probability distribution, random variable, arithmetic mean, expected value
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| probability distribution || function (mathematical analysis)
| probability distribution || function (mathematical analysis), outcome (probability theory)
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| sample space || experiment (probability theory)
| sample space || experiment (probability theory)
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| stochastic process, random process || random variable
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| tree diagram (probability theory) || probability space, event (probability theory), independence (probability)
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| uncorrelatedness (probability theory) || covariance (probability theory)
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|}
|}


Revision as of 14:30, 11 October 2021

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

You can see the titles are a bit of weird. They are going to be read by machine and made use of by other means.

“Prerequisites” for non-English languages are to be generated through programs, so they are kept empty.

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-Hrkt-JP: がいねん jpn-Hrkt-JP: ぜんたい jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
probability theory
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-Hrkt-JP: がいねん jpn-Hrkt-JP: ぜんたい jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
arithmetic mean
binomial distribution binomial coefficient <number theory>, discrete probability distribution
characteristic function (probability theory) probability space, random variable, probability distribution
determinism
dependent variable variable (set of attribute)
deterministic system determinism
discrete probability distribution probability distribution
event (probability theory) subset <set theory>, sample space
experiment (probability theory) set (set theory) <set theory>, outcome (probability theory), randomness
independent variable variable (set of attribute)
indeterminism
jointly exhaustive, collectively exhaustive set <set theory>, event (probability theory)
Markov chain, Markov process sequence, event (probability theory), stocastic process
normal distribution, Gauss distribution, Laplace–Gauss distribution probability distribution, random variable, arithmetic mean, expected value
outcome (probability theory) experiment (probability theory)
probability axioms, Kolmogorov axioms
probability distribution function (mathematical analysis), outcome (probability theory)
random variable dependent variable, randomness, outcome (probability theory)
randomness
sample space experiment (probability theory)
stochastic process, random process random variable
tree diagram (probability theory) probability space, event (probability theory), independence (probability)
trial (probability theory) experiment (probability theory)
uncorrelatedness (probability theory) covariance (probability theory)

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

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