书目名称 | Linear and Generalized Linear Mixed Models and Their Applications | 编辑 | Jiming Jiang,Thuan Nguyen | 视频video | | 概述 | Features exercises and real examples throughout, to ensure retention of information.Offers an up-to-date account of theory and methods in the analysis of these models as well as their applications in | 丛书名称 | Springer Series in Statistics | 图书封面 |  | 描述 | .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 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.. This book is suitable for students, researchers, and practitioners who are interested in using mixed models for statistical data analysis with public health applications. It is best for graduate courses in statistics, or for those who have taken a first course in mathematical statistics, are familiar with using computers for data analysis, and have a foundational background in calculus and linear a | 出版日期 | Book 2021Latest edition | 关键词 | Regression analysis; data analysis; generalized linear mixed models; linear mixed models; linear optimiz | 版次 | 2 | doi | https://doi.org/10.1007/978-1-0716-1282-8 | isbn_softcover | 978-1-0716-1284-2 | isbn_ebook | 978-1-0716-1282-8Series ISSN 0172-7397 Series E-ISSN 2197-568X | issn_series | 0172-7397 | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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