本书内容包括:导论;简单线性回归模型;多重线性回归模型及其扩展;广义线性回归模型;确定的和随机的线性约束;广义回归模型中的预测;不完全数据集分析;稳健回归;分类相应变量模型 ...
Generalized Linear Models and Extensions
Student Solutions Manual for Kleinbaum, Kupper, Muller, and Nizam's Applied Regression Analysis and Other Multivariable Methods
The book provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods.
The book provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods.
The fourth edition of Generalized Linear Models and Extensions gives a comprehensive overview of the nature and scope of generalized linear models (GLMs) and of the major changes to the basic GLM algorithm that allow modeling of data that ...
A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book's datasets are available on the web.
A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book's datasets are available on the web.
This book summarizes developments within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to advanced statistical modelling including generalized linear models ...