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Books like Linear models with R by Julian James Faraway

Name: Linear models with R
Rating: 4 (1 reviews)
Author: Julian James Faraway

📘 Linear models with R by Julian James Faraway

First publish date: 2005

Authors: Julian James Faraway

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Books similar to Linear models with R (9 similar books)

📘 A course in linear models

by Anant M. Kshirsagar

A concise, one‑semester text that systematically develops the theory and application of linear models, covering regression, matrix fundamentals, analysis of variance, and statistical inference.

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📘 The Elements of Statistical Learning

by Trevor Hastie

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

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📘 Extending the Linear Model with R

by Julian J. Faraway

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📘 Extending the linear model with R

by Julian James Faraway

Extending the linear model with R (Second Edition) discusses linear models beyond simple linear regression: Generalized Linear Models (GLMs), mixed effect models, and nonparametric regression models. Code is primarily in R, and the book is geared towards teaching by doing.

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📘 An Introduction to Statistical Learning

by Gareth James

An Introduction to Statistical Learning offers a practitioner‑friendly guide to modern statistical learning methods, including linear regression, classification, resampling, shrinkage, tree‑based models, SVMs, and clustering, with R tutorials and real‑world examples.

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📘 An introduction to linear statistical models

by Franklin A. Graybill

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📘 Methods and applications of linear models

by R. R. Hocking

A popular statistical text, now updated and better than ever!

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📘 Applied logistic regression

by David W. Hosmer

An accessible introduction to logistic regression models, updated and expanded with new topics and applications.

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📘 Predictive inference

by Seymour Geisser

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Some Other Similar Books

Applied Linear Regression by S. Preda
Regression Analysis by Example by Samuel S. Shwarz
Linear Models in R by Julian J. Faraway
Applied Regression Analysis and Generalized Linear Models by John M. Prachniak
Regression Modeling Strategies by Frank E. Harrell Jr.
Modeling Binary Data by Dobson & Barnett
Modern Applied Statistics with S by W.N. Venables, B.D. Ripley
Linear Statistical Models by Richard R. Smith

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