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Linear and Generalized Linear Mixed Models and Their Applications /

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Now in its second edition, this book covers two major classes of mixed effects models-linear mixed models and generalized linear mixed models-and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systemati...

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Bibliographic Details
Main Authors: Jiang, Jiming (Author), Nguyen, Thuan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2021.
Edition:2nd ed. 2021.
Series:Springer Series in Statistics,
Subjects:
Statistics .
Probabilities.
Public health.
Numerical analysis.
Biomathematics.
Statistics for Life Sciences, Medicine, Health Sciences.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Public Health.
Numerical Analysis.
Genetics and Population Dynamics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Linear Mixed Models: Part I
  • 2. Linear Mixed Models: Part II
  • 3. Generalized Linear Mixed Models: Part I
  • 4. Generalized Linear Mixed Models: Part II.