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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Generalized Linear Mixed Models

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's "Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS" is devoted to the;

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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

chapters. The chapters are organized in four parts. Volume II discusses generalized linear mixed models for binary, categorical, count, and;

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An Introduction to Generalized Additive Models with R

helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their;

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Foundations of Linear and Generalized Linear Models

of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to;

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Generalized, Linear, and Mixed Models

. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed models and highlights their similarities;

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A First Course in Linear Model Theory

. Revised or expanded topics include linear fixed, random and mixed effects models, generalized linear models, Bayesian and hierarchical linear;

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Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a;

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Asymptotic Analysis of Mixed Effects Models

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized;

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Asymptotic Analysis of Mixed Effects Models

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized;

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Pharmacokinetic-Pharmacodynamic Modeling and Simulation

developing the field by starting from linear models and then moving up to generalized linear and non-linear mixed effects models. Since the first;

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Multivariate Generalized Linear Mixed Models Using R

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the;

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SAS for Mixed Models, Second Edition

generalized linear mixed models nonlinear mixed models Professionals and students with a background in two-way ANOVA and regression and a basic;

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Multilevel and Longitudinal Modeling Using Stata, Volume I

Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first;

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Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials;

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Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials;

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Linear Model Methodology

Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles;

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Linear Model Theory

This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses;

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Linear Model Theory

This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses;

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Extending The Linear Model With R

expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and;

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Generalized Additive Models

the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before presenting a balanced treatment;

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Robust Mixed Model Analysis

is rapidly growing. On the other hand, some of these models, such as the linear mixed models and generalized linear mixed models, are highly;

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Explanatory Item Response Models

in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models;

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Linear Models in Statistics

linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition;

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