J. C. Pinheiro and D. M. Bates, Mixed-effects models in S and S-PLUS: Springer Science & Business Media, 2000.Jose´ C Pinheiro and Douglas M Bates, Mixed-effects models in S and S-PLUS, Springer Science & Bu
Mixed-Effects Models in S and S-PLUSMathematical statisticsPinheiro, José C; Bates, Douglas Mdoi:10.1007/b98882Pinheiro, José CBates, Douglas MSpringer,
This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. A unified model-building strategy for both linear and nonlinear models is presented and ...
In: Mixed-Effects Models in S and S-PLUS. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/0-387-22747-4_1 Download citation .RIS .ENW .BIB DOIhttps://doi.org/10.1007/0-387-22747-4_1 Publisher NameSpringer, New York, NY Print ISBN978-0-387-98957-0 ...
Mixed-effects models account for both fixed and random effects. As with all regression models, their purpose is to describe a response variable as a function of the predictor variables. Mixed-effects models, however, recognize correlations within sample subgroups. In this way, they provide a comp...
The models considered in all of the previous chapters contain only one random element, the random error. Many situations call for models in which there is more than one random term. This chapter introduces mixed models that contain both fixed effects and several random effects. Analysis of varian...
海外直订Mixed-Effects Models in S and S-Plus S和S-PLUS中的混合效应模型 作者:Pinheiro, Jose出版社:Springer出版时间:2002年04月 手机专享价 ¥ 当当价 降价通知 ¥2274 配送至 广东佛山市 至 北京市东城区 服务 由“中华商务进口图书旗舰店”发货,并提供售后服务。
Bates Mixed-effects models in S and S-PLUS Springer, New York (2000) Google Scholar Quené and Van den Bergh, 2004 H. Quené, H. Van den Bergh On multi-level modeling of data from repeated measures designs: A tutorial Speech Communication, 43 (2004), pp. 103-121 View PDFView article...
J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling (2nd ed.). SAGE Publications. 文章 • Antonakis, J., Bastardoz, N., & Rönkkö, M. (2021). On ignoring the random effects assumption in multilevel models: Review, critique, and recommendations...
线性混合效应模型Linear Mixed-Effects Models的部分折叠Gibbs采样,原文链接:http://tecdat.cn/?p=2654本文介绍了线性混合效应模型的新型贝叶斯分析。该分析基于部分折叠的方法,该方法允许某些组件从模型中部分折叠。得到的部分折叠的Gibbs(PCG)采样器被构造成适合线性