Isbn: 9786132688934 - conway–maxwell–poisson distribution: probability theory, poisson distribution, statistics, count data, overdispersion, negative binomial distribution (3 risultati)

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  • Lingua: Inglese

    Editore: Omniscriptum Mär 2026, 2026

    6132688935 / 9786132688934

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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, 2010

    6132688935 / 9786132688934

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

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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. In probabilitytheory and statistics, the Poisson distribution is the most commondistribution used to model count data. However, due to the Poissondistribution's reliance on a single parameter (the mean), dataexhibiting overdispersion or underdispersion under the Poisson modelmust be modeled under alternative distributions to account for thesestatistically significant deviations. Typically, the negative binomialdistribution is used to model data with over-dispersion, however theConway-Maxwell-Poisson (CMP or COM-Poisson) distribution provides animproved, yet relatively unknown, alternative. In particular, the CMPdistribution is suitable for over and under-dispersed data, and is amember of the exponential family, which has many favorable properties.…

  • Lingua: Inglese

    Editore: Omniscriptum Mär 2026, 2026

    6132688935 / 9786132688934

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 116,00

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    Quantità: 1 disponibile

    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. In probabilitytheory and statistics, the Poisson distribution is the most commondistribution used to model count data. However, due to the Poissondistribution's reliance on a single parameter (the mean), dataexhibiting overdispersion or underdispersion under the Poisson modelmust be modeled under alternative distributions to account for thesestatistically significant deviations. Typically, the negative binomialdistribution is used to model data with over-dispersion, however theConway-Maxwell-Poisson (CMP or COM-Poisson) distribution provides animproved, yet relatively unknown, alternative. In particular, the CMPdistribution is suitable for over and under-dispersed data, and is amember of the exponential family, which has many favorable properties.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.…