
- 392 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Linear Models with R
About this book
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, 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 world of R has greatly expanded since the publication of the second edition.
New to the Third Edition
- 40% more content with more explanation and examples throughout
- New chapter on sampling featuring simulation-based methods
- Model assessment methods discussed
- Explanation chapter expanded to include introductory ideas about causation
- Model interpretation in the presence of transformation
- Crossvalidation for model selection
- Chapter on regularization now includes the elastic net
- More on multiple comparisons and the use of marginal means
- Discussion of design and power
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.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- 1 Introduction
- 2 Estimation
- 3 Inference
- 4 Sampling
- 5 Prediction
- 6 Explanation and Causation
- 7 Diagnostics
- 8 Predictor Issues
- 9 Modeling with the Error
- 10 Transformation
- 11 Model Selection
- 12 Regularization
- 13 Insurance Redlining — A Complete Example
- 14 Missing Data
- 15 Categorical Predictors
- 16 One Factor Models
- 17 Models with Several Factors
- 18 Experiments with Blocks
- Appendix
- Bibliography
- Index