Language/Multiple-languages/Vocabulary/Probability-Theory
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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 | cmn-Latn.Pinyin-CN: kēmù | deu-Latn-DE: Fach [n] | eng-Latn-US: subject | fra-Latn-FR: matière [f] | jpn-Jpan-JP: 科目 | jpn-Hrkt-JP: か↑もく | rus-Cyrl-RU: предме́т |
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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] | eng-Latn-US: concept | eng-Latn-US: prerequisite | 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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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 | ||||||||||||||
dependent variable | variable <algebra> | ||||||||||||||
deterministic system | determinism <metaphysics> | ||||||||||||||
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> | ||||||||||||||
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 | ||||||||||||||
variance | expectation; deviation; sample mean; population mean | ||||||||||||||
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] | eng-Latn-US: concept | eng-Latn-US: prerequisite | 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 | ||||||||||||||
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