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Conway-Maxwell-Poisson Distribution: Probability theory, Poisson distribution, Statistics, Count data, Overdispersion, Negative binomial distribution - Tapa blanda
Sinopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the Poisson distribution is the most common distribution used to model count data. However, due to the Poisson distribution''s reliance on a single parameter (the mean), data exhibiting overdispersion or underdispersion under the Poisson model must be modeled under alternative distributions to account for these statistically significant deviations. Typically, the negative binomial distribution is used to model data with over-dispersion, however the Conway–Maxwell–Poisson (CMP or COM-Poisson) distribution provides an improved, yet relatively unknown, alternative. In particular, the CMP distribution is suitable for over and under-dispersed data, and is a member of the exponential family, which has many favorable properties.
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Reseña del editor
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the Poisson distribution is the most common distribution used to model count data. However, due to the Poisson distribution''s reliance on a single parameter (the mean), data exhibiting overdispersion or underdispersion under the Poisson model must be modeled under alternative distributions to account for these statistically significant deviations. Typically, the negative binomial distribution is used to model data with over-dispersion, however the Conway–Maxwell–Poisson (CMP or COM-Poisson) distribution provides an improved, yet relatively unknown, alternative. In particular, the CMP distribution is suitable for over and under-dispersed data, and is a member of the exponential family, which has many favorable properties.
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Conway-Maxwell-Poisson Distribution
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Omniscriptum Mär 2026, 2026
ISBN 10: 6132688935
ISBN 13: 9786132688934
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Conway-Maxwell-Poisson Distribution : Probability theory, Poisson distribution, Statistics, Count data, Overdispersion, Negative binomial distribution
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786132688934
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Conway-Maxwell-Poisson Distribution
Publicado por
Omniscriptum Mär 2026, 2026
ISBN 10: 6132688935
ISBN 13: 9786132688934
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786132688934
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