Hello polyglots, 😀
On this page you will find a part of the Sci–Tech Index, a project for science and technology learners.
cmn-Hans-CN: 科目
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cmn-Latn.Pinyin-CN: kēmù
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deu-Latn-DE: Fach [n]
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eng-Latn-US: subject
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fra-Latn-FR: matière [f]
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jpn-Jpan-JP: 科目
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jpn-Hrkt-JP: か↑もく
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rus-Cyrl-RU: предме́т
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Main
cmn-Hans-CN: 概念 |
cmn-Hans-CN: 前提
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cmn-Latn.Pinyin-CN: gàiniàn |
cmn-Latn.Pinyin-CN: qiántí
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deu-Latn-DE: Begriff [m] |
deu-Latn-DE: Voraussetzung [f]
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eng-Latn-US: concept |
eng-Latn-US: prerequisite
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fra-Latn-FR: concept [m] |
fra-Latn-FR: préalable [m]
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jpn-Jpan-JP: 概念 |
jpn-Jpan-JP: 前提
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jpn-Hrkt-JP: が↓いねん |
jpn-Hrkt-JP: ぜ↑んてい
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rus-Cyrl-RU: конце́пция |
rus-Cyrl-RU: предпосы́лка
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arithmetic mean |
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Bayes' theorem, Bayes' law, Bayes' rule, Bayes–Price theorem |
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Bernoulli process |
random variable; stochastic process
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characteristic function |
probability space; random variable; probability distribution
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Chebyshev's inequality, Bienaymé–Chebyshev inequality |
probability distribution
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dependent variable |
variable <algebra>
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deterministic system |
determinism <metaphysics>
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elementary event, atomic event, sample point |
event; outcome; sample space
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event |
subset <mathematical logic>; sample space
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experiment |
set <mathematical logic>; outcome; randomness
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independent variable |
variable <algebra>
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jointly exhaustive, collectively exhaustive |
set <mathematical logic>; event
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law of large numbers |
expected value
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law of total probability |
marginal distribution; conditional probability
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Markov chain, Markov process |
sequence; event; stochastic process
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outcome |
experiment
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probability axioms, Kolmogorov axioms |
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probability measure |
measure <mathematical analysis>; real-valued function; probability space
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random variable |
dependent variable; randomness; outcome
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randomness |
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sample space |
experiment
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stochastic process, random process |
random variable
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tree diagram |
probability space; event; independence
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trial |
experiment
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uncorrelatedness |
covariance
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variance |
expectation; deviation; sample mean; population mean
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probability distribution
cmn-Hans-CN: 概念 |
cmn-Hans-CN: 前提
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cmn-Latn.Pinyin-CN: gàiniàn |
cmn-Latn.Pinyin-CN: qiántí
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deu-Latn-DE: Begriff [m] |
deu-Latn-DE: Voraussetzung [f]
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eng-Latn-US: concept |
eng-Latn-US: prerequisite
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fra-Latn-FR: concept [m] |
fra-Latn-FR: préalable [m]
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jpn-Jpan-JP: 概念 |
jpn-Jpan-JP: 前提
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jpn-Hrkt-JP: が↓いねん |
jpn-Hrkt-JP: ぜ↑んてい
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rus-Cyrl-RU: конце́пция |
rus-Cyrl-RU: предпосы́лка
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probability distribution |
function <mathematical logic>; outcome
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binomial distribution |
binomial coefficient <number theory>; discrete probability distribution
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discrete probability distribution |
probability distribution
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logistic distribution |
probability distribution <probability theory>
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normal distribution, Gauss distribution, Laplace–Gauss distribution |
probability distribution; random variable; arithmetic mean; expected value
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Appendix
Sentence
cmn-Hans-CN: 语句 |
cmn-Hans-CN: 前提
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cmn-Latn.Pinyin-CN: yǔjù |
cmn-Latn.Pinyin-CN: qiántí
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deu-Latn-DE: Satz [m] |
deu-Latn-DE: Voraussetzung [f]
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eng-Latn-US: sentence |
eng-Latn-US: prerequisite
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fra-Latn-FR: phrase [f] |
fra-Latn-FR: préalable [m]
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jpn-Jpan-JP: 文章 |
jpn-Jpan-JP: 前提
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jpn-Hrkt-JP: ぶ↑んしょ↓う |
jpn-Hrkt-JP: ぜ↑んてい
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rus-Cyrl-RU: фра́за |
rus-Cyrl-RU: предпосы́лка
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A and B are independent |
independence
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A and B are pairwise independent |
pairwise independence
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Symbol
symbol
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cmn-Hans-CN: 概念
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cmn-Latn.Pinyin-CN: gàiniàn
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deu-Latn-DE: Begriff [m]
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eng-Latn-US: concept
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fra-Latn-FR: concept [m]
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jpn-Jpan-JP: 概念
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jpn-Hrkt-JP: が↓いねん
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rus-Cyrl-RU: конце́пция
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p
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probability
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S, Ω, U
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sample space
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Process
cmn-Hans-CN: 过程 |
cmn-Hans-CN: 构件
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cmn-Latn.Pinyin-CN: guòchéng |
cmn-Latn.Pinyin-CN: gòujiàn
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deu-Latn-DE: Prozess [m] |
deu-Latn-DE: Bestandteil [m]
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eng-Latn-US: process |
eng-Latn-US: constituent
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fra-Latn-FR: procès [m] |
fra-Latn-FR: composant [m]
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jpn-Jpan-JP: 過程 |
jpn-Jpan-JP: 構材
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jpn-Hrkt-JP: か↑てい |
jpn-Hrkt-JP: こ↑うざい
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rus-Cyrl-RU: проце́сс |
rus-Cyrl-RU: соста́вная часть
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