《线性模型和广义线性模型(第3版)》是著名的统计学家C.R.Rao的专著, 这是扩充修订的第三版,将新的结果囊括其中,中国百年文学经典桥梁书(共8册),杨家将(教育部最新版“语文课程标准”重点推荐阅读,是学习线性模型理论和应用的不可多得的书籍。作者用尽量少的假设讲述了线性模型和广义线性模型。不仅运用了*小二...
Heumann, "Linear Models and Generalizations: Least Squares and Alternatives," 3rd Edition, Springer, Berlin, 2009.Rao, C.R., Toutenburg, H., Shalabh, Heumann, C.: Linear Models and Generalizations: Least Squares and Alternatives. Springer Series in Statistics. Springer-Verlag, Berlin Heidelberg...
Revised and updated with the latest results, this Third Edition explores the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions. They not only use least squares theory, but also alternative me...
Linear Models and Generalizations: Least Squares and Alternatives(3rd ed.) Heumann, "Linear Models and Generalizations: Least Squares and Alternatives," 3rd Edition, Springer, Berlin, 2009.Rao, C.R., Toutenburg, H., Shalabh,... J Cavanaugh - 《Journal of the American Statistical Association》...
Linear Models and Generalizations:线性模型和推广 热度: in Generalized Linear Mixed Models:广义线性混合模型 热度: Prediction of human action segmentation based on end-effector kinematics using linear models Serge Thill (serge.thill@his.se) Paul E Hemeren (paul.hemeren@his.se) ...
Sparse Linear Models:稀疏线性模型 热度: Linear Models and Generalizations:线性模型和推广 热度: Topic 2: Linear Economic Models Jacques Text Book (edition 3): section 1.2 – Algebraic Solution of Simultaneous Linear Equations section 1.3 – Demand and ...
Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis 来自 Semantic Scholar 喜欢 0 阅读量: 38 作者:A Wiesel,YC Eldar 摘要: We consider the problem of estimating an unknown deterministic parameter vector in a linear model with a Gaussian model matrix. The ...
Because the proportional odds model described by McCullagh [31], which is based on the logistic regression formulation, is a common choice for analysis of ordinal data, many of the GLMMs for ordinal data are generalizations of this model, though models relaxing this assumption have also been ...
Linear Models and Generalizations: Least Squares and Alternatives; Springer: Berlin, Germany, 2008. 19. Koenker, R.; Bassett, G. Regression quantiles. Econometrica 1978, 46, 33–50. [CrossRef] 20. Koenker, R. Quantile Regression; Cambridge University Press: Cambridge, UK, 2005. Forests 2017,...
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear...