bernoulli's assumption

  • 91Maximum entropy probability distribution — In statistics and information theory, a maximum entropy probability distribution is a probability distribution whose entropy is at least as great as that of all other members of a specified class of distributions. According to the principle of… …

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  • 92Mann–Whitney U — In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW) or Wilcoxon rank sum test) is a non parametric statistical hypothesis test for assessing whether one of two samples of independent observations tends to have… …

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  • 93n-body problem — This article is about the problem in classical mechanics. For the problem in quantum mechanics, see Many body problem. The n body problem is the problem of predicting the motion of a group of celestial objects that interact with each other… …

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  • 94Kolmogorov , Andrei Nikolaievich — (1903–1987) Russian mathematician Kolmogorov was born at Tambov in Russia and educated at Moscow State University, graduating in 1925. He became a research associate at the university, later a professor (1931), and in 1933 was appointed director… …

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  • 95Charles Babbage — in 1860 Born 26 December 1791( …

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  • 96Enthalpy — Thermodynamics …

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  • 97Gamma function — For the gamma function of ordinals, see Veblen function. The gamma function along part of the real axis In mathematics, the gamma function (represented by the capital Greek letter Γ) is an extension of the factorial function, with its… …

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  • 98Information theory — Not to be confused with Information science. Information theory is a branch of applied mathematics and electrical engineering involving the quantification of information. Information theory was developed by Claude E. Shannon to find fundamental… …

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  • 99Mersenne prime — Named after Marin Mersenne Publication year 1536[1] Author of publication Regius, H. Number of known terms 47 Conjectured number of terms Infinite …

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  • 100Maxwell–Boltzmann distribution — Maxwell–Boltzmann Probability density function Cumulative distribution function parameters …

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