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Linear Models and TimeSeries Analysis

A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA;

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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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Regression Analysis and Linear Models

, generalized linear model, etc. This book presents the complex subject of regression analysis and linear models, in the most comprehensible and easy to;

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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and;

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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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Advanced Linear Modeling

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

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Bayesian Analysis of Linear Models

,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and;

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Bayesian Analysis of Linear Models

,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and;

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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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Methods And Applications Of Linear Models

thoroughly updated book, Methods and Applications of Linear Models: Regression and the Analysis of Variance, Third Edition features innovative;

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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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Applied Regression Analysis and Generalized Linear Models

Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the;

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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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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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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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SAS for Linear Models

guidelines and discussions cover the following significant areas: Multivariate linear models; lack-of-fit analysis; covariance and heterogeneity;

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Time Series Analysis

With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear;

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The Coordinate-Free Approach to Linear Models

simpler than the more common matrix approach to linear regression, analysis of variance, and analysis of covariance models in statistics. The book;

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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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An Introduction to Generalized Linear Models

nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis Connects Bayesian analysis and MCMC;

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An Introduction to Generalized Linear Models

nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis Connects Bayesian analysis and MCMC;

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A First Course in Linear Models and Design of Experiments

This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and;

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The Linear Model and Hypothesis

This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear;

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Generalized Additive Models

missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range;

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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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