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| |  Online-Ressource |
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| Verfasst von: | Sellers, Kimberly F. [VerfasserIn]  |
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| Titel: | The Conway-Maxwell-Poisson distribution |
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| Verf.angabe: | Kimberly F. Sellers, Georgetown University |
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| Verlagsort: | Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore |
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| Verlag: | Cambridge University Press |
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| Jahr: | 2023 |
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| Umfang: | 1 Online-Ressource (xxiv, 330 Seiten) |
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| Illustrationen: | Diagramme |
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| Gesamttitel/Reihe: | Institute of mathematical statistics monographs ; 8 |
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| Fussnoten: | Title from publisher's bibliographic system (viewed on 06 Mar 2023) |
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| ISBN: | 978-1-108-64643-7 |
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| Abstract: | While the Poisson distribution is a classical statistical model for count data, the distributional model hinges on the constraining property that its mean equal its variance. This text instead introduces the Conway-Maxwell-Poisson distribution and motivates its use in developing flexible statistical methods based on its distributional form. This two-parameter model not only contains the Poisson distribution as a special case but, in its ability to account for data over- or under-dispersion, encompasses both the geometric and Bernoulli distributions. The resulting statistical methods serve in a multitude of ways, from an exploratory data analysis tool, to a flexible modeling impetus for varied statistical methods involving count data. The first comprehensive reference on the subject, this text contains numerous illustrative examples demonstrating R code and output. It is essential reading for academics in statistics and data science, as well as quantitative researchers and data analysts in economics, biostatistics and other applied disciplines. |
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| DOI: | doi:10.1017/9781108646437 |
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| URL: | Resolving-System: https://doi.org/10.1017/9781108646437 |
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| | DOI: https://doi.org/10.1017/9781108646437 |
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| Schlagwörter: | (s)Conway-Maxwell-Poisson-Verteilung / (s)Zähldaten / (s)Negative Binomialverteilung / (s)Regressionsanalyse / (s)Qualitätsregelkarte / (s)Stochastischer Prozess / (s)Ereignisdatenanalyse |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Sellers, Kimberly F.: The Conway-Maxwell-Poisson distribution. - Cambridge : Cambridge University Press, 2023. - xxiv, 330 Seiten |
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| K10plus-PPN: | 1843521091 |
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| Verknüpfungen: | → Übergeordnete Aufnahme |
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| Lokale URL UB: |  Zum Volltext |
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978-1-108-64643-7
¬The¬ Conway-Maxwell-Poisson distribution / Sellers, Kimberly F. [VerfasserIn]; 2023 (Online-Ressource)
69082681
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