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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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Foundations of Linear and Generalized Linear Models

of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book;

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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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An Introduction to Generalized Additive Models with R

splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the;

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

This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are;

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Generalized Linear Models

Explaining the theoretical underpinning of generalized linear models, this text enables researchers to decide how to select the best way to;

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Generalized Additive Models

missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range;

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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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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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A Generalized Framework of Linear Multivariable Control

A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix;

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Generalized, Linear, and Mixed Models

An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models;

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Generalized Linear Models

This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective;

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Generalized Linear Models and Correlated Data Methods

Offers a unified discussion of generalized linear models and correlated data methods Provides information suitable for graduate non;

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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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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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Generalized Linear Models

The author explains the theoretical underpinnings of generalized linear models so that researchers can decide how to select the best way to;

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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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Introduction to General and Generalized Linear Models

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models;

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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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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Applied Regression Analysis and Generalized Linear Models

Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the;

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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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Generalized Linear Models

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive;

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Confidence Intervals in Generalized Regression Models

regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox;

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Confidence Intervals in Generalized Regression Models

regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox;

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