Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)

Generalized, Linear, and Mixed Models (W

📁 Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)

✍ Charles E. McCulloch, Shayle R. Searle 📂 Library 📅 2001 🌐 English

Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized,

Generalized, Linear, and Mixed Models (W

📁 Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)

✍ Charles E. McCulloch, Shayle R. Searle 📂 Library 📅 2001 🏛 Wiley-Interscience 🌐 English

This is a very recent and authoritative treatment of classical parametric models, starting with the general linear model and extending to generalized linear models, linear mixed models and finally to generalized linear mixed models. It also has applciations to longitudinal data analysis and predicti

Linear Model Theory: Univariate, Multiva

📁 Linear Model Theory: Univariate, Multivariate, and Mixed Models (Wiley Series in Probability and Statistics)

✍ Keith E. Muller, Paul W. Stewart 📂 Library 📅 2006 🏛 Wiley-Interscience 🌐 English

A precise and accessible presentation of linear model theory, illustrated with data examplesStatisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models sepa

Generalized Linear Models: with Applicat

📁 Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics)

✍ Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson 📂 Library 📅 2010 🏛 Wiley 🌐 English

Praise for the First Edition"The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read. Every statistician working in any area of applied science should buy it and experience the e

Generalized Linear Models: with Applicat

📁 Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics)

✍ Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson 📂 Library 📅 2010 🏛 Wiley 🌐 English

Praise for the First Edition"The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read. Every statistician working in any area of applied science should buy it and experience the e

Multilevel Statistical Models (Wiley Ser

📁 Multilevel Statistical Models (Wiley Series in Probability and Statistics)

✍ Harvey Goldstein 📂 Library 📅 2010 🏛 Wiley 🌐 English

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understan

Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)

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