Generalized Linear Mixed Models with Applications in Agriculture and Biology

Discover the groundbreaking work of Josafhat Salinas Ruíz in the insightful book Generalized Linear Mixed Models with Applications in Agriculture and Biology, published by Springer International Publishing AG in 2023. This comprehensive first edition spans 427 pages and delves into the intricacies of statistical modeling in the fields of agriculture and biology.

In this essential resource, the author explores the limitations of traditional linear statistical models and introduces generalized linear models (GLM) as a powerful alternative for analyzing non-normally distributed response variables. With a focus on exponential family distributions, this book provides valuable insights that are crucial for researchers and practitioners aiming to enhance their data analysis techniques.

Whether you are a seasoned statistician or a newcomer to the field, this book is a must-have addition to your library, offering practical applications and theoretical foundations that will elevate your understanding of mixed models in complex datasets.