Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, heavy-tailed distributions are probability distributions whose tails are not exponentially bounded: that is, they have heavier tails than the exponential distribution. In many applications it is the right tail of the distribution that is of interest, but a distribution may have a heavy left tail, or both tails may be heavy. There are two important subclasses of heavy-tailed distributions, the long-tailed distributions and the subexponential distributions. In practice, all commonly used heavy-tailed distributions belong to the subexponential class.
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Taschenbuch. Etat : Neu. Heavy-tailed distribution | Probability theory, Probability distribution, Exponential distribution, Log-normal distribution, Random variable, Cumulative distribution function | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786132647481 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134678066
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In probabilitytheory, heavy-tailed distributions are probability distributions whosetails are not exponentially bounded: that is, they have heavier tailsthan the exponential distribution. In many applications it is the righttail of the distribution that is of interest, but a distribution mayhave a heavy left tail, or both tails may be heavy. There are twoimportant subclasses of heavy-tailed distributions, the long-taileddistributions and the subexponential distributions. In practice, allcommonly used heavy-tailed distributions belong to the subexponentialclass.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. N° de réf. du vendeur 9786132647481
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