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Titlebook: Linear and Generalized Linear Mixed Models and Their Applications; Jiming Jiang,Thuan Nguyen Book 2021Latest edition Springer Science+Busi

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发表于 2025-3-21 18:01:01 | 显示全部楼层 |阅读模式
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Titlebook: Linear and Generalized Linear Mixed Models and Their Applications;  Jiming Jiang,Thuan Nguyen Book 2021Latest edition Springer Science+Busi
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
doihttps://doi.org/10.1007/978-1-0716-1282-8
isbn_softcover978-1-0716-1284-2
isbn_ebook978-1-0716-1282-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2021
The information of publication is updating

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发表于 2025-3-21 22:36:47 | 显示全部楼层
Linear Mixed Models: Part II,ce, namely, tests in linear mixed models. Section 2.1.1 discusses statistical tests in Gaussian mixed models. As shown, exact .-tests can often be derived under Gaussian ANOVA models. Furthermore, in some special cases, optimal tests such as uniformly most powerful unbiased (UMPU) tests exist and co
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发表于 2025-3-22 09:25:08 | 显示全部楼层
Jiming Jiang,Thuan Nguyenows us to understand the behavior of data better, to predict data values (continuous or discrete), and to find important variables by means of building a model from the data. We present four different regression models: simple linear regression, multiple linear regression, polynomial regression and
发表于 2025-3-22 14:46:59 | 显示全部楼层
Jiming Jiang,Thuan Nguyenows us to understand the behavior of data better, to predict data values (continuous or discrete), and to find important variables by means of building a model from the data. We present four different regression models: simple linear regression, multiple linear regression, polynomial regression and
发表于 2025-3-22 19:58:02 | 显示全部楼层
Jiming Jiang,Thuan Nguyenis and machine learning.Includes case studies, and supplies .This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible dat
发表于 2025-3-22 22:18:31 | 显示全部楼层
Jiming Jiang,Thuan NguyenThe coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. .Topics and features:. .Provides
发表于 2025-3-23 02:43:06 | 显示全部楼层
and then complements outcomes with the use of tidyverse.Prov.Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs .defines and explores the term "data science" and discusses the many professional skills and competencies affiliated with the industry. With data sci
发表于 2025-3-23 09:23:11 | 显示全部楼层
Jiming Jiang,Thuan NguyenFeatures 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
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