Books of Linear models (Statistics)
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Generalized Linear Models and Extensions
By James William HardinGeneralized Linear Models and Extensions
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Student Solutions Manual for Kleinbaum, Kupper, Muller, and Nizam's Applied Regression Analysis and Other Multivariable Methods
By Aaron T. Curns, Azhar NizamStudent Solutions Manual for Kleinbaum, Kupper, Muller, and Nizam's Applied Regression Analysis and Other Multivariable Methods
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An Introduction to Generalized Linear Models
By Annette J. Dobson, Adrian G. BarnettThe book provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods.
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An Introduction to Generalized Linear Models
By Annette J. Dobson, Adrian G. BarnettThe book provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods.
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Generalized Linear Models and Extensions
By Joseph M. Hilbe, James William HardinThe 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 ...
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Higher-order Growth Curves and Mixture Modeling with Mplus: A Practical Guide
By Tae Kyoung Lee, Frederick O. Lorenz, Catherine Walker O'NealA 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.
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Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide
By Tae Kyoung Lee, Catherine Walker O'Neal, K. A. S. WickramaA 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.
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Data Analysis Using Hierarchical Generalized Linear Models with R
By Youngjo Lee, Lars Ronnegard, Maengseok NohThis 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 ...
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Linear Models and Generalizations: Least Squares and Alternatives
By Christian Heumann, Shalabh, Calyampudi Radhakrishna Rao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 ...