Generalized, Linear, and Mixed Models 作者:McCulloch, Charles E./ Searle, Shayle R./ Neuhaus, John M. 出版年:2008-6 页数:384 定价:1228.00 元 ISBN:9780470073711 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 + 加入购书单...
Rabe-Hesketh, "Some applications of generalized linear latent and mixed models in epidemiology," Norsk Epidenmiologi, vol. 13, no. 2, pp. 265-278, 2003.Skrondal A, Rabe-hesketh S. Some applications of generalized linear latent and mixed models in epidemiology: repeated measures, measurement ...
models, latent class models, and properties of models A revised chapter on longitudinal data, which now includes a discussion of generalized linear models, modern advances in longitudinal data analysis, and the use between and within covariate decompositions Expanded coverage of marginal versus ...
观测值可能相关。 广义线性混合模型涵盖了从简单线性回归到复杂的非正态纵向数据多变量模型的各种模型。 示例。地区教育委员会可以使用广义线性混合模型来判定一个实验教学方法对于提高数学成绩的有效性。由于来自同一班级的学生由同一个老师教导,因此这些学生是相关的,而且同一学校的各班级之间也是相关的,因此我们可以在学...
Generalized linear mixed models (GLMMs) are a class of models that incorporates random effects into the linear predictor of a generalized linear model (GLM). This allows the modeling of correlated data within the context of GLMs and greatly extends their breadth of applicability. They thus include...
（Generalized）LinearMixedModels：（广义）线性混合模型
Generalized linear mixed model So far we have allowed very flexible models for the expected response and very simplistic models for its stochastic component. Let’s fix that. A Generalized linear mixed model (GLMM) has the form g(µ i ) = X i β +Z i b, b ∼ N(0, ψ θ...
M. (2008), Generalized, linear, and mixed models, Wiley Series in Probability and Statistics, Hoboken, NJ: John Wiley & Sons Inc., 2nd ed.McCulloch, C. E. & Searle, S. R. (2001). Generalized, Linear and Mixed Models (Wiley Series in Probability & Statistics). New York: Wiley....
广义线性混合模型(Generalized Linear Mixed Models)更快速的性能(Faster Performance) 与服务器的接驳(Statistics port… blog.163.com|基于50个网页 2. 一般线性模型 一般线性模型(Generalized Linear Mixed Models) –在Advanced Statistics模组为预测非线性结果建立更精确的模型。 更快的效 … ...
A GLME model is parameterized byβ,θ, andσ2. The assumptions for generalized linear mixed-effects models are: The random effects vectorbhas the prior distribution: b∣σ2,θ∼N(0,σ2D(θ)) , whereσ2is the dispersion parameter, andDis a symmetric and positive semidefinite matrix par...