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Asymptotic Analysis of Mixed Effects Models

extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models. The monograph;

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Asymptotic Analysis of Mixed Effects Models

extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models. The monograph;

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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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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 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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Statistical Tests for Mixed Linear Models

treatment for these models at an advanced level. Statistical Tests for Mixed Linear Models:* Combines analysis and testing in one self-contained;

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Asymptotic Statistics

of local asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical;

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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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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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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 Model Methodology

of linear models and explores the latest developments in data analysis. After presenting the historical evolution of certain methods and;

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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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Asymptotic Methods in the Theory of Plates with Mixed Boundary Conditions

Asymptotic Methods in the Theory of Plates with Mixed Boundary Conditions comprehensively covers the theoretical background of asymptotic;

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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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Cooperative Effects in Stochastic Models

structural analysis of multi-element stochastic models together with majoral asymptotic bounds of these models characteristics. At the same time it;

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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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Nonparametric Models for Longitudinal Data

* Covers structured nonparametric models with time-varying coefficients * Discusses nonparametric shared-parameter and mixed-effects models;

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Correlated Data Analysis

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the;

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Statistical Methods for Drug Safety

Data The book describes linear and non-linear mixed-effects models, discrete-time survival models, and new approaches to the meta-analysis;

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Statistical Methods for Drug Safety

the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structural models for controlling dynamic;

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Analytically Tractable Stochastic Stock Price Models

Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are;

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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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Time Series with Mixed Spectra

with Mixed Spectra focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed;

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