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Mixed Effects Models & Extensions Ecolog

This book discusses advanced statistical methods that can be used to analyse ecological data. Most e;...

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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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Mixed Effects Models for Complex Data

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when;

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Mixed Effects Models for Complex Data

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when;

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Robust Mixed Model Analysis

Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models;

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Nonlinear Models for Repeated Measurement Data

unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its;

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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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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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Multilevel Modeling

extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second;

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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, 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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Statistical Tests for Mixed Linear Models

An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw;

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Robust Nonparametric Statistical Methods

univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It;

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SAS for Mixed Models, Second Edition

The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities available for a variety of applications;

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Handbook of Mixed Membership Models and Their Applications

individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these;

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Handbook of Mixed Membership Models and Their Applications

individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these;

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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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Mixed-Effects Models in S and S-PLUS

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as;

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Mixed-Effects Models in S and S-PLUS

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as;

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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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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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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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Richly Parameterized Linear Models

A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to;

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Richly Parameterized Linear Models

A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to;

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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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