Linear and generalized linear mixed models and their applications [electronic resource]

• 作者： Jiang, Jiming.
• 其他作者：
  • Nguyen, Thuan.
  • SpringerLink (Online service)
• 其他題名：
  • Springer series in statistics.
• 出版： New York, NY : Springer New York :Imprint: Springer
• 版本：Second edition.
• 叢書名： Springer series in statistics,
• 主題： Linear models (Statistics) , Mathematical statistics. , Statistics for Life Sciences, Medicine, Health Sciences. , Probability Theory and Stochastic Processes. , Statistical Theory and Methods. , Public Health. , Numerical Analysis. , Genetics and Population Dynamics.
• ISBN： 9781071612828 (electronic bk.) 、 9781071612811 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
• More
• 摘要註: 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 algebra.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: