Modeling Count Data

Informationen zum 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 Statistics.com, 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. Klappentext This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Zusammenfassung Written for researchers with little or no background in advanced statistics! this book provides guidelines and fully worked examples of how to select! construct! interpret and evaluate the full range of count models. Stata! R! and SAS code enable readers in a variety of disciplines to adapt models for their own purposes. 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.

Product details

• Authors: Joseph M. Hilbe, Joseph M. (Arizona State University) Hilbe
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 21.07.2014
• EAN: 9781107028333
• ISBN: 978-1-107-02833-3
• No. of pages: 300
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Economics, finance, business & management, MATHEMATICS / Probability & Statistics / General, Economic statistics, Probability & statistics, Econometrics, Probability and statistics, Data Capture & Analysis