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Mixed-Effects Models in S and S-PLUS

concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS;

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Mixed-Effects Models in S and S-PLUS

concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS;

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

mixed because they allow fixed and random effects, and they are generalized because they are appropriate for continuous Gaussian responses as;

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Asymptotic Analysis of Mixed Effects Models

linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are;

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Asymptotic Analysis of Mixed Effects Models

linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are;

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Mixed Effects Models for Complex Data

studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate;

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Mixed Effects Models for Complex Data

studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate;

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Richly Parameterized Linear Models

better understand their analysis results. The author examines what is known and unknown about mixed linear models and identifies research;

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Richly Parameterized Linear Models

better understand their analysis results. The author examines what is known and unknown about mixed linear models and identifies research;

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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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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, 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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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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Statistical Tests for Mixed Linear Models

inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and;

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SAS for Mixed Models, Second Edition

featuring the MIXED, GLIMMIX, and NLMIXED procedures in this valuable edition of the comprehensive mixed models guide for data analysis, completely;

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Advanced R Statistical Programming and Data Models

linear models, generalized additive models, mixed effects models, machine learning, and parallel processing Carry out regression modeling using R;

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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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Sex and Gender Differences in Pharmacology

with an overview on S/G in clinical syndromes and a documentation of the medical and socioeconomic damage caused by gender specific adverse;

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Linear Statistical Models

includes: An introduction to R and S-Plus(r) with many examples Multiple comparison procedures Estimation of quantiles for regression models An;

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Analyzing Medical Data Using S-PLUS

Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises;

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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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A Rational Expectations Approach to Macroeconomics

, movements in variables. In this volume, Fredrick S. Mishkin first theoretically develops and discusses a unified econometric treatment of these;

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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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Mixed Models

Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly;

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Mixed Effects Models for the Population Approach

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects ModelsMixed Effects Models for the Population Approach;

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Mixed Effects Models for the Population Approach

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects ModelsMixed Effects Models for the Population Approach;

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