9781439887332-1439887330-Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

3.5
ISBN-13: 9781439887332
ISBN-10: 1439887330
Edition: 2
Author: Julian J. Faraway
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 286 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9781439887332
ISBN-10: 1439887330
Edition: 2
Author: Julian J. Faraway
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 286 pages

Summary

Acknowledged authors Julian J. Faraway wrote Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) comprising 286 pages back in 2014. Textbook and eTextbook are published under ISBN 1439887330 and 9781439887332. Since then Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $ 40.25 or rent at the marketplace.

Description

A Hands-On Way to Learning Data Analysis

Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second 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 world of R has greatly expanded since the publication of the first edition.

New to the Second Edition

  • Reorganized material on interpreting linear models, which distinguishes the main applications of prediction and explanation and introduces elementary notions of causality
  • Additional topics, including QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates
  • Extensive use of the ggplot2 graphics package in addition to base graphics

Like its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text 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 apply the different methods using R.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book