Search results for ‘Julian J. Faraway’

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      Cover image for Linear Models with R
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      Linear Models with R

      Julian J. Faraway

      Linear Models with R, Third Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the…

      $157.99

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      Linear Models with Python

      Julian J. Faraway

      Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to…

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      Linear Models with R

      Julian J. Faraway

      Focuses on the practice of regression and analysis of variance. This book demonstrates the different methods available and in which situations they can be applied. It covers various standard topics…

      $182.99

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      Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition

      Julian J. Faraway

      The book Linear Models with R examined the different methods available, and showed in which situations each one applies. Following those footsteps, this book surveys the techniques that grow from…

      $182.99

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      Bayesian Regression Modeling with INLA

      Xiaofeng Wang (Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, USA),Julian J. Faraway (University of Bath, United Kingdom),Yuryan Yue

      This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using…

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      Bayesian Regression Modeling with INLA

      Xiaofeng Wang (Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, USA),Julian J. Faraway (University of Bath, United Kingdom),Yuryan Yue

      This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using…

      $96.99

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