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Statistical methods for overdispersed count data /
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
London, UK : Kidlington, Oxford :
ISTE Press Ltd ; Elsevier Ltd,
2018.
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| Series: | Biostatistics and health science set (Series)
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| Subjects: | |
| Online Access: | Texto completo |
Table of 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