| NOUN | a probability theory | probability theories |
| SYNO | probability theory | theory of probability |
NOUN article.ind sg | pl
4 translations
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Usage Examples English
- For example, in probability theory, integrals are used to determine the probability of some random variable falling within a certain range.
- David Ellerman wanted to explain why conditional entropy and other functions had properties similar to functions in probability theory.
- Probability theory is a branch of mathematics. While its roots reach centuries into the past, it reached maturity with the axioms of Andrey Kolmogorov in 1933.
- Huygens published his treatise in 1657, (see Huygens (1657)) "De ratiociniis in ludo aleæ" on probability theory just after visiting Paris.
- ... determining the number) of combinatorial structures using tools from complex analysis and probability theory.
- Analytic combinatorics concerns the enumeration of combinatorial structures using tools from complex analysis and probability theory.
- Later he lectured alternately on "introduction to analysis", probability theory (succeeding Chebyshev, who had left the university in 1882) and the calculus of differences.
- He later corresponded with Pierre de Fermat on probability theory, strongly influencing the development of modern economics and social science.
- Probability theory is applied in everyday life in risk assessment and modeling.
- Most measures met in practice in analysis (and in many cases also in probability theory) are Radon measures.
- The Laplace transform has applications throughout probability theory, including first passage times of stochastic processes such as Markov chains, and renewal theory.
- In probability theory and statistics, a central moment is a moment of a probability distribution of a random variable about the random variable's mean; that is, it is the expected value of a specified integer power of the deviation of the random variable from the mean.
- In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable [...] , or just distribution function of [...] , evaluated at [...] , is the probability that [...] will take a value less than or equal to [...].
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Contains translations by TU Chemnitz and Mr Honey's Business Dictionary (German-English only).
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