Linear and Generalized Linear Mixed Models and Their Applications
- المؤلف
- Jiming Jiang, Thuan Nguyen
- سنة النشر
- 2021
- الناشر
- Springer
- لغة الملف
- انكليزي
- نوع الملف
- Book
- تصنيف الكتاب
- Computer Science
- تحميل الكتاب قراءة الكتاب
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 systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics.
الكلمات المفتاحية: Mathematics and Statistics / Statistics for Life Sciences, Medicine, Health Sciences / Probability Theory and Stochastic Processes / Statistical Theory and Methods / Numerical Analysis / Genetics and Population Dynamics / Regression analysis / Data analysis / Generalized linear mixed models / Linear mixed models / Linear optimization / Mathematical statistics / Model selection / Random effects / Public health / Mixed model prediction / Restricted maximum likelihood / Small area estimation / Variance components
