Instant download Foundations of Linear and Generalized Linear Models 1 pdf, docx, kindle format all chapters after payment.
Product details:
- ISBN 10: 1118730062
- ISBN 13: 9781118730065
- Author: Alan Agresti
“… Agresti dares to build from the ground up, with a clean and fresh arc of coverage [and] with sensitivity to both the teacher and student, while being deliberately selective with both the content and approach …” Reviewer of manuscript in 2013 Written by a prolific writer, teacher, and researcher, this book should be used in linear and generalized linear models courses or studies that seek a concise and authoritative summary of the basic foundations of the subject matter.
Table contents:
Chapter 1. Introduction to Linear and Generalized Linear Models
Chapter 2. Linear Models: Least Squares Theory
Chapter 3. Normal Linear Models: Statistical Inference
Chapter 4. Generalized Linear Models: Model Fitting and Inference
Chapter 5. Models for Binary Data
Chapter 6. Multinomial Response Models
Chapter 7. Models for Count Data
Chapter 8. Quasi-Likelihood Methods
Chapter 9. Modeling Correlated Responses
Chapter 10. Bayesian Linear and Generalized Linear Modeling
Chapter 11. Extensions of Generalized Linear Models
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