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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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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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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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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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The Challenges of Non-linear Parameters and Variables in Automatic Loop Parallelisation

With the rise of manycore processors, parallelism is becoming a mainstream necessity. Unfortunately, parallel programming is inherently;

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Linear Regression Models

*Furnishes a thorough introduction and detailed information about the linear regression model, including how to understand and interpret;

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Linear Regression Models

*Furnishes a thorough introduction and detailed information about the linear regression model, including how to understand and interpret;

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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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Environmental and Ecological Statistics with R

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied;

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Environmental and Ecological Statistics with R

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied;

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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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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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Interpolation and Extrapolation Optimal Designs 2

for the classical polynomial case. The estimation pertains to a general linear form of the coefficients of the model, extending the;

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Introduction to General and Generalized Linear Models

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models;

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Linear Model Theory

clear the distinctions among the three classes of models. Linear Model Theory: Univariate, Multivariate, and Mixed Models begins with six;

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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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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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Statistical Methods for the Analysis of Biomedical Data

The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear;

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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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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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An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;

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An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;

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The New Statistics with R

software and has been thoroughly road-tested over the last decade to create a proven textbook that teaches linear and generalized linear model;

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The New Statistics with R

software and has been thoroughly road-tested over the last decade to create a proven textbook that teaches linear and generalized linear model;

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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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Univariate and Multivariate General Linear Models

both general linear model theory and application. The model is discussed using a general framework, enabling students to appreciate fully the;

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