Isbn: 9786130342968 - probability density function: probability density function, probability theory, random variable, function mathematics, integral, probability distribution, cumulative distribution function (3 risultati)

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  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller E.K. Jan 2010, 2010

    6130342969 / 9786130342968

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! In probability theory, a probability density function of a continuous random variable is a function that describes the relative likelihood for this random variable to occur at a given point in the observation space. The probability of a random variable falling within a given set is given by the integral of its density over the set. On rare occasions the term probability distribution function is used to denote the probability density function. However special care should be taken around this term, since in other sources the probability distribution function may refer to either the probability distribution function, or the cumulative distribution function, or may be a probability mass function rather than a density. Englisch.

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    Taschenbuch. Condizione: Neu. Probability Density Function | Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution Function | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130342968 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In probability theory, a probability density function of a continuous random variable is a function that describes the relative likelihood for this random variable to occur at a given point in the observation space. The probability of a random variable falling within a given set is given by the integral of its density over the set. On rare occasions the term probability distribution function is used to denote the probability density function. However special care should be taken around this term, since in other sources the probability distribution function may refer to either the probability distribution function, or the cumulative distribution function, or may be a probability mass function rather than a density.