Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) 2nd Edition, (Ebook PDF)

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) 2nd Edition, (Ebook PDF) – Digital Instant Dowload.

Product details:

• ISBN-10 ‏ : ‎ 1439887330
• ISBN-13 ‏ : ‎ 978-1439887332
• Author: Julian J. Faraway

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.

Table contents:

Chapter 1: Introduction
Chapter 2: Estimation
Chapter 3: Inference
Chapter 4: Prediction
Chapter 5: Explanation
Chapter 6: Diagnostics
Chapter 7: Problems with the Predictors
Chapter 8: Problems with the Error
Chapter 9: Transformation
Chapter 10: Model Selection
Chapter 11: Shrinkage Methods
Chapter 12: Insurance Redlining — A Complete Example
Chapter 13: Missing Data
Chapter 14: Categorical Predictors
Chapter 15: One Factor Models
Chapter 16: Models with Several Factors
Chapter 17: Experiments with Blocks