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Linear Model Methodology

Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles;

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Linear Model Theory

A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data;

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Linear Models

An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the;

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A First Course in Linear Model Theory

Thoroughly updated throughout, A First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an;

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Theory of Linear Models

This book provides a self-contained exposition of the theory of linear models, including practical aspects of residuals and data analysis.;

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Advanced Linear Modeling

This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal;

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Linear Models

models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory;

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A Primer on Linear Models

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology;

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A Primer on Linear Models

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology;

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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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Linear Model Theory

This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses;

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Linear Model Theory

This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses;

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Matrix Algebra for Linear Models

for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book;

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Quantum Non-linear Sigma-Models

properties and renormalization of a generic non-linear sigma-model, illustrated by explicit multi-loop calculations in perturbation theory.;

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Quantum Non-linear Sigma-Models

properties and renormalization of a generic non-linear sigma-model, illustrated by explicit multi-loop calculations in perturbation theory.;

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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 First Course in Linear Models and Design of Experiments

explain linear estimation in linear models and testing of linear hypotheses, and the later chapters apply this theory to the analysis of specific;

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The Theory of Linear Economic Models

underpinning the theory of games, linear programming, and the Neumann model of growth. He then explores such subjects as linear programming; the theory;

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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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Linear Model Theory

quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The;

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Linear Model Theory

quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The;

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An Introduction to Generalized Additive Models with R

helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their;

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Methods And Applications Of Linear Models

approaches to understanding and working with models and theory of linear regression. The Third Edition provides readers with the necessary;

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Linear Models in Statistics

The essential introduction to the theory and application of linear models-now in a valuable new edition Since most advanced statistical;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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