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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, Montesinos López, Osval Antonio (Author), Hernández Ramírez, Gabriela (Author), Crossa Hiriart, Jose (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Subjects:
Linear Models And Regression
Multivariate Analysis
Biostatistics
Regression Analysis
Agriculture
Biometry
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

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