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Statistical methods for overdisperse...
Dupuy, Jean-François,

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  • Statistical methods for overdispersed count data
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Statistical methods for overdispersed count data/ Jean-François Dupuy.
    Author: Dupuy, Jean-François,
    Published: London, UK :ISTE Press Ltd ; : 2018.,
    Description: 1 online resource.
    [NT 15003449]: 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
    [NT 15003449]: 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
    Subject: Linear models (Statistics) -
    Online resource: https://www.sciencedirect.com/science/book/9781785482663
    ISBN: 9780081023747 (electronic bk.)
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  • 1 records • Pages 1 •
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