Generalized Linear Models and Extensions
This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models. Since the introduction of the idea of generalized linear models (GLM) in early seventies, during the past four decades the modelling of statistical data...
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| Autores principales: | , |
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| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-981-96-4726-2 |
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Tabla de Contenidos:
- Introduction
- Exponential Family of Distributions
- Univariate GLM
- Estimation and Tests for Univariate GLM
- Quasi Likelihood
- Multivariate Data and GLM: Generalized Estimating Equations
- Generalized Linear Mixed Models
- Extension of GLM for Bivariate Data
- Extension of GLM for Multivariate Data: Alternative Models
- Generalized Quasi Likelihood Methods
- Bayesian Approach for GLM
- GLM for Big Data Analytics.