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Statistical methods for overdispersed count data

Author: Jean-François Dupuy
Publisher: London, UK : ISTE Press Ltd ; Kidlington, Oxford : Elsevier Ltd, 2018. ©2018
Series: Biostatistics and health science set (Series)
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
DUPUY, JEAN-FRANCOIS.
STATISTICAL METHODS FOR OVERDISPERSED COUNT DATA.
[Place of publication not identified] : ISTE PRESS LTD - ELSEVIER, 2018
(OCoLC)1007074136
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jean-François Dupuy
ISBN: 9780081023747 008102374X
OCLC Number: 1076271791
Description: 1 online resource.
Contents: Front Cover; Statistical Methods for Overdispersed Count Data; Copyright Page; Contents; Introduction; 1. Brief Overview of Linear Models; 1.1. Introduction; 1.2. The standard linear model; 1.3. Least squares estimator; 1.4. The Gaussian linear model; 1.5. Linear models in R; 1.6. Asymptotic properties; 2. Generalized Linear Models; 2.1. Exponential families; 2.2. The components of a generalized linear model; 2.3. Maximum likelihood estimator; 2.4. Binomial regression; 2.5. Poisson regression; 2.6. Generalized linear models in R; 3. Overdispersion in Count Data; 3.1. Introduction 3.2. The quasi-Poisson model3.3. The negative binomial regression model; 3.4. Application to the NMES1988 data; 4. Count Data and Zero Inflation; 4.1. Introduction; 4.2. ZIP regression model; 4.3. ZIB regression model; 4.4. Example of an application of the ZIP and ZIB models in healthcare economics; 4.5. ZIM regression model; References; Index; Back Cover
Series Title: Biostatistics and health science set (Series)
Responsibility: Jean-François Dupuy.

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