Isbn: 9786133732773 - discrete phase-type distribution: geometric distribution, markov chain, phase-type distribution, transition probability matrix, identity matrix (3 risultati)

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  • Lingua: Inglese

    Editore: Omniscriptum Apr 2026, 2026

    6133732776 / 9786133732773

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

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    EUR 116,00

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch.

  • Lingua: Inglese

    Editore: Omniscriptum Apr 2026, 2026

    6133732776 / 9786133732773

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: 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. The discretephase-type distribution is a probability distribution that results froma system of one or more inter-related geometric distributions occurringin sequence, or phases. The sequence in which each of the phases occurmay itself be a stochastic process. The distribution can be representedby a random variable describing the time until absorption of a Markovchain with one absorbing state. Each of the states of the Markov chainrepresents one of the phases.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

  • Lingua: Inglese

    Editore: Omniscriptum, 2010

    6133732776 / 9786133732773

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 162,38

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The discretephase-type distribution is a probability distribution that results froma system of one or more inter-related geometric distributions occurringin sequence, or phases. The sequence in which each of the phases occurmay itself be a stochastic process. The distribution can be representedby a random variable describing the time until absorption of a Markovchain with one absorbing state. Each of the states of the Markov chainrepresents one of the phases.