Generalized Linear Mixed Models with Applications in Agriculture and Biology

This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is ad...

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Bibliographic Details
Main Authors: Salinas Ruíz, Josafhat (Author), Montesinos López, Osval Antonio (Author), Hernández Ramírez, Gabriela (Author), Crossa Hiriart, Jose (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:1st ed. 2023.
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Table of Contents:
  • Chapter 1) Elements of the Generalized Linear Mixed Models
  • Chapter 2) Generalized Linear Models
  • Chapter 3) Objectives in Model Inference
  • Chapter 4) Generalized Linear Mixed Models for non-normal responses
  • Chapter 5) Generalized Linear Mixed Models for Count response
  • Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response
  • Chapter 7) Times of occurrence of an event of interest
  • Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses
  • Chapter 9) Generalized Linear Mixed Models for Repeated Measurements.