Semiparametric Regression with R

• Main Authors: Harezlak, Jaroslaw (Author, http://id.loc.gov/vocabulary/relators/aut), Ruppert, David (http://id.loc.gov/vocabulary/relators/aut), Wand, Matt P. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Use R!,
• Subjects: Statistics .; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Business, Management, Economics, Finance, Insurance.

This easy-to-follow applied book expands upon the authors' prior work on semiparametric regression to include the use of R software. In 2003, authors Ruppert and Wand co-wrote Semiparametric Regression with R.J. Carroll, which introduced the techniques and benefits of semiparametric regression...