- The Princeton Press overview page
- Amazon's page
- The table of contents (a small PDF)
- A short piece on the book's raison d'être
- The complete text (a large PDF)
- The sample code and data (ZIP file)
- Professors, there are 117 exercises you can give your students. See Princeton's page on how to get a solution key
- About the author
- Errors and omissions
Praise for Modeling with Data
"Where the author shines is his common sense and the practical tips he offers along the way. I have never seen a better short summary of the common probability distributions than the one that appears on page 235 with the heading 'Every probability distribution tells a story.'"
--Bill Satzer, for MAA Reviews
"I enjoyed reading this book and learned a great deal from it. Modeling
with Data filled in a lot of holes in my knowledge, and I think that
will be true in general for other readers as well. There is a lot of
high-quality and interesting material here."
--Brendan Halpin, University of Limerick
Modeling with Data offers a useful blend of data-driven statistical methods and nuts-and-bolts guidance on implementing those methods.
--Pat Hall, founder of Translation Creation
"I am a psychiatric geneticist but my degree is in neuroscience, which
means that I now do far more statistics than I have been trained for. I
cannot overstate to you the magnitude of the change in my productivity
since finding this book. Even after reading the first few chapters,
which explain why data analysis is painful and how one can implement a
long-term solution, my research moved forward greatly."
--Amber Baum, National Institute of Mental Health
Praise for the cover: Techne's cover photo is a winner in the DCist exposed photo contest.
About the web site: Thanks to Kelly Hoffman for design assistance, and Sarah Green for reworking the cover photo into the trees at bottom. For technical details, see this entry.
