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Modeling Count Data
Taschenbuch von Joseph M. Hilbe
Sprache: Englisch

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Beschreibung
Provides guidance and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.
Provides guidance and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.
Über den Autor
Joseph Hilbe is a solar system ambassador with NASA's Jet Propulsion Laboratory, California Institute of Technology; an Adjunct Professor of Statistics at Arizona State University; an Emeritus Professor at the University of Hawaii; and a statistical modeling instructor for [...], a web-based continuing-education program in statistics. He is the author of several books on statistical modeling and serves as the coordinating editor for the Cambridge University Press series Predictive Analytics in Action.
Inhaltsverzeichnis
Preface; 1. Varieties of count data; 2. Poisson regression; 3. Testing overdispersion; 4. Assessment of fit; 5. Negative binomial regression; 6. Poisson inverse Gaussian regression; 7. Problems with zeros; 8. Modeling under-dispersed count data - generalized Poisson; 9. Complex data: more advanced models; Appendix A: SAS code; References; Index.
Details
Erscheinungsjahr: 2018
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 300
ISBN-13: 9781107611252
ISBN-10: 1107611253
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Hilbe, Joseph M.
Hersteller: Cambridge University Press
Maße: 244 x 170 x 17 mm
Von/Mit: Joseph M. Hilbe
Erscheinungsdatum: 03.04.2018
Gewicht: 0,522 kg
preigu-id: 105345287
Über den Autor
Joseph Hilbe is a solar system ambassador with NASA's Jet Propulsion Laboratory, California Institute of Technology; an Adjunct Professor of Statistics at Arizona State University; an Emeritus Professor at the University of Hawaii; and a statistical modeling instructor for [...], a web-based continuing-education program in statistics. He is the author of several books on statistical modeling and serves as the coordinating editor for the Cambridge University Press series Predictive Analytics in Action.
Inhaltsverzeichnis
Preface; 1. Varieties of count data; 2. Poisson regression; 3. Testing overdispersion; 4. Assessment of fit; 5. Negative binomial regression; 6. Poisson inverse Gaussian regression; 7. Problems with zeros; 8. Modeling under-dispersed count data - generalized Poisson; 9. Complex data: more advanced models; Appendix A: SAS code; References; Index.
Details
Erscheinungsjahr: 2018
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 300
ISBN-13: 9781107611252
ISBN-10: 1107611253
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Hilbe, Joseph M.
Hersteller: Cambridge University Press
Maße: 244 x 170 x 17 mm
Von/Mit: Joseph M. Hilbe
Erscheinungsdatum: 03.04.2018
Gewicht: 0,522 kg
preigu-id: 105345287
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