Generalized, Linear, and Mixed Models, Second Edition provides an up–to–date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, line... ...
Generalized Linear Mixed Models 作者:Walter W. Stroup/Marina Ptukhina/Julie Garai 出版社:Chapman and Hall/CRC 副标题:Modern Concepts, Methods and Applications, 2nd Edition 出版年:2024-5-21 页数:668 定价:USD 100.00 装帧:Hardcover 丛书:Texts in Statistical Science...
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...
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 … www.xishu.com.tw|基于6个网页 3. 广义线性混合效应模型 非线性混合效... ... ) linear mixed effects model 线性混合效应模型 )generalized linear mixed models广义线性混合效应模型.....
（Generalized）LinearMixedModels：（广义）线性混合模型
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....
s fix that. A Generalized linear mixed model (GLMM) has the form g(µ i ) = X i β +Z i b, b ∼ N(0, ψθ ), y i ∼ EF(µ i , φ) Z is a model matrix for the random effects b. The parameters are β, φ and θ, the latter parameterizing b’s ...
Generalized, Linear, and Mixed Models 2024 pdf epub mobi 电子书 著者简介 Generalized, Linear, and Mixed Models 电子书 图书目录 facebooklinkedinmastodonmessengerpinterestreddittelegramtwittervibervkontaktewhatsapp复制链接 想要找书就要到本本书屋 onlinetoolsland.com ...
Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal datamultilevel datadecision makingdecision-tree methodsmixed-effects modelssubgroup detectionObjective: Decision-tree methods are machine-learning methods which provide results that are relatively easy...
Generalized, Linear, and Mixed Models, Second Edition by Charles E. McCulloch, Shayle R. Searle, John M. Neuhausdoi:10.2307/27919740Simo PuntanenInternational Statistical Review