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Linear Models with R

. Linear Models with R, Second Edition explains how to use linear models in physical science, engineering, social science, and business;

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An R Companion to Linear Statistical Models

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;

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An R Companion to Linear Statistical Models

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;

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Extending The Linear Model With R

expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and;

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An Introduction to Generalized Additive Models with R

Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and;

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A First Course in Linear Model Theory

studying the theory and applications of both univariate and multivariate linear models. In addition to adding R functionality, this second edition;

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Advanced R Statistical Programming and Data Models

, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to;

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Extending the Linear Model with R

. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods;

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Foundations of Linear and Generalized Linear Models

of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to;

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Dynamic Linear Models with R

series analysis is required, although familiarity with basic statistics and R is assumed.;

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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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Generalized Linear Mixed Models

picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers;

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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Generalized Linear Models and Correlated Data Methods

-statistics majors or advanced undergraduate statistics majors Includes case studies with real data Offers material on R at the end of each chapter;

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Introduction to General and Generalized Linear Models

text, although other software packages are also discussed. Numerous examples show how the problems are solved with R. After describing the;

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Linear Models And Regression With R

Starting with the basic linear model where the design and covariance matrices are of full rank, this book demonstrates how the same;

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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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R for Marketing Research and Analytics

the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear;

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Generalized Additive Models

of exercises, with solutions in an appendix or in the book's R data package gamair, to enable use as a course text or for self-study.;

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An Introduction to Generalized Linear Models

framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters;

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Linear Models

edition. Linear Models, Second Edition is written in such a way as to be self-contained for a person with a background in basic statistics;

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Linear Models in Statistics

includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells;

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Generalized Linear Models With Examples in R

This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it;

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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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Generalized Linear Models with Random Effects

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and;

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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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