Handbook of Regression Analysis With Applications in R, Second Edition Samprit Chatterjee

Handbook of Regression Analysis With Applications in R, Second Edition – Ebook Instant Download/Delivery ISBN(s): 9781119392378,1119392373

Product details:

• ISBN-10 ‏ : ‎ 1119392373
• ISBN-13 ‏ : ‎ 978-1119392378
• Author(s): Samprit Chatterjee, Jeffrey S. Simonoff

Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors’ thorough treatment of “classical” regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data.

The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include:

• Regularization methods
• Smoothing methods
• Tree-based methods

In the new edition of the Handbook, the data analyst’s toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website.

Table contents:

Part I The Multiple Linear Regression Model

1 Multiple Linear Regression 3

2 Model Building 23

Part II Addressing Violations of Assumptions

3 Diagnostics for Unusual Observations 53

4 Transformations and Linearizable Models 67

5 Time Series Data and Autocorrelation 79

Part III Categorical Predictors

6 Analysis of Variance 109

7 Analysis of Covariance 135

Part IV Non-Gaussian Regression Models

8 Logistic Regression 145

9 Multinomial Regression 173

10 Count Regression 187

11 Models for Time-to-Event (Survival) Data 209

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