Applied Linear Statistical Models
by Michael Kutner, John Neter, Christopher Nachtsheim,  & William Li

This is a textbook, through and through, but an excellent one.  It really covers just about everything in linear models (regression and anova), and it quite straightforward.  A great reference book.

The picture will take you to a previous edition, which will save you about $100 off the latest.

Regression Models: Censored, Sample Selected, or Truncated Data
by Richard Breen

This is a pretty specific topic, but it’s a great book when you need it.  I love all of the books in this series that I’ve read.  Contains enough statistical theory to be helpful, but not lots of technical jargon or deriving equations.  Readers should be quite familiar with linear regression.

Subscribe!

Monthly Tips, Resources, and News. Plus The Top Resources for Learning 13 Statistical Methods. And our free Webinar Series: The Craft of Statistical Analysis.
FREE!