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OverviewStatistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementation. All methods are illustrated on datasets arising in the field of health economics. As several tools have been developed to tackle over-dispersed and zero-inflated data (such as adjustment methods and zero-inflated models), this book covers the topic in a comprehensive and interesting manner. Full Product DetailsAuthor: Jean-Francois Dupuy (INSA Rennes, France)Publisher: ISTE Press Ltd - Elsevier Inc Imprint: ISTE Press Ltd - Elsevier Inc Weight: 0.440kg ISBN: 9781785482663ISBN 10: 1785482661 Pages: 192 Publication Date: 21 November 2018 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. A Brief Overview of Linear Models 2. Generalized Linear Models 3. Overdispersion in Count Data 4. Count Data and Zero InflationReviewsAuthor InformationJean-Francois Dupuy is a Professor at the INSA Rennes since 2011. From 2009 to 2011, he was a Professor at the University La Rochelle in France. In 2002 he obtained a PhD in Applied Mathematics from the University Paris-Descartes. Tab Content 6Author Website:Countries AvailableAll regions |
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