出版年:2013-2 页数:574 定价:$ 168.37 装帧:Hardcover 丛书:Springer Texts in Statistics ISBN:9781461438991 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to an...
Fixed effects: Parameters that are consistent among every group and used to explain the response variable Y.也就是回归方程中固定的结构项,效应大小不因分组不同而改变。上述例子中的IQ和性别就是回归中的结构项,结构项前面的系数成为固定效应。 Mixed-effects model: A model including both fixed and random...
In this chapter, we consider the analysis of continuous, hierarchical data using a different class of models, namely, linear mixed-effects models (LMMs). They allow to take into account the correlation of observations contained in a dataset. Moreover, they allow to effectively partition the ...
The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical analyses in psychological science and may become the default approach to analyzing quantitative data. The rapid growth in adoption of LMMs has been matched by a proliferation of differences in practice. Unless this diversi...
In this chapter, we consider the analysis of continuous, hierarchical data using a different class of models, namely, linear mixed-effects models (LMMs). They allow to take into account the correlation of observations contained in a dataset. Moreover, they allow to effectively partition the ...
The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical analyses in psychological science and may become the default approach to analyzing quantitative data. The rapid growth in adoption of LMMs has been matched by a proliferation of differences in practice. Unless this diversi...
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a ...
The core of mixed models is that they incorporate fixed and random effects. A fixed effect is a parameter that does not vary. For example, we may assume there is some true regression line in the population,β, and we get some estimate of it,β^. In contrast, random effects are paramete...
Multivariate linear mixed models (MvLMMs) are widely used to model multiple sources of covariance among related observations. Let the n×t matrix Y represent observations on t traits for n observational units (i.e., individual plants, plots, or replicates). A general MvLMM takes on the follow...
This page briefly introduces linear mixed models LMMs as a method for analyzing data that are non independent, multilevel/hierarchical, longitudinal, or correlated. We focus on the general concepts and interpretation of LMMS, with less time spent on the theory and technical details. ...