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Applied Mixed Model Analysis

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles;

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Applied Mixed Model Analysis

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles;

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Univariate and Multivariate General Linear Models

-of-profiles model, the SUR model, the CGMANOVA model, HLM, mixed models, and the analysis of repeated measures with missing data.;

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Linear and Generalized Linear Mixed Models and Their Applications

who are interested in using mixed models for statistical data analysis.;

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Linear and Generalized Linear Mixed Models and Their Applications

who are interested in using mixed models for statistical data analysis.;

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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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Linear Mixed Models for Longitudinal Data

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this;

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Robust Mixed Model Analysis

models.This research monograph provides a comprehensive account of methods of mixed model analysis that are robust in various aspects, such as to;

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Linear Models in Statistics

models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to;

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Linear Model Theory

analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed;

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Applied Mixed Models In Medicine

A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences;

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Analysis of Messy Data Volume 1

A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers;

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Handbook of Mixed Membership Models and Their Applications

factor analysis, and describe nonparametric mixed membership models. They also present extensions of the mixed membership model for text analysis;

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Handbook of Mixed Membership Models and Their Applications

factor analysis, and describe nonparametric mixed membership models. They also present extensions of the mixed membership model for text analysis;

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Extending The Linear Model With R

methods New chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method;

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Variable Mixed-mode Fatigue Delamination in Composite Laminates - Testing and Analysis

of variable mixed-mode fatigue delamination in composite laminates. A mixed-mode fatigue delamination model is proposed. Opposite to literature mixed;

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Mixed Models

, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing;

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Advising on Research Methods

/>Theory (IRT), and they describe how IRT models are applied in CAT.Daniel Bannan and C?sar-Reyer Vroom discuss stepwise model;

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Linear Models

models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied;

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Robust Methods in Biostatistics

classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model;

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Mixed Effects Models for Complex Data

semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values;

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Mixed Effects Models for Complex Data

semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values;

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Qualitative and Mixed Methods Data Analysis Using Dedoose

Qualitative and Mixed Methods Data Analysis Using Dedoose (R): A Practical Approach for Research Across the Social Sciences provides both;

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UK Tax Policy and Applied General Equilibrium Analysis

changes. UK Tax Policy and Applied General Equilibrium Analysis was the first book-length treatment of the development and application of an;

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Design and Analysis of Gauge R&R Studies

summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models, this comprehensive;

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Applied Longitudinal Data Analysis For Epidemiology

-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction;

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