Subject: [isostat] Math Stats textbook replies
From: Bob Dobrow <rdobrow@carleton.edu>
Date: Thu, 26 Oct
2006 12:46:35 -0500
To: isostat@oberlin.edu
Hi,
Thanks to everyone for your feedback on the Math Stats
textbook issue.
Here are some texts people raised:
1. A Modern Introduction to Probability and Statistics by Dekking et al. (Springer)
2. Modern Mathematical Statistics with Applications by
Devore and Berk (Thomson, Brooks/Cole)
3. Statistical Methods, Theory and Practice by David
Freedman (
4. Probability and Statistics, The
Science of Uncertainty by Michael Evans and Jeffrey Rosenthal (Freeman)
5. Mathematical Statistics and Data Analysis by John Rice
(Duxbury)
6. Statistics and Data Analysis by Tamhane
and Dunlop (Prentice Hall)
7. Probability and Statistical Inference by Hogg and
8. Mathematical Statistics with Applications by Wackerly, Mendenhall and Scheaffer
(PWS)
9. An Introduction to Mathematical Statistics by Larsen and
Marx (Prentice Hall).
My apologies if I missed some.
I an leaning toward Probability and
Statistics by Evans and Rosenthal. My reasons are
(1) It is on a slightly higher mathematical level than some
of the others and may be more appropriate for my audience (largely math and
econ majors who just went through a probability course at the level of Ross);
(2) It has a modern feel in terms of the data sets and problems discussed; (3)
Includes sections on bootstrapping and Bayesian inference; (4) Take a very
pro-technology point of view.
Bob Dobrow
Subject: [isostat] Math Stat textbooks (addendum)
From: Bob Dobrow <rdobrow@carleton.edu>
Date: Thu, 02 Nov
2006 08:40:20 -0600
To: isostat@oberlin.edu
Hi,
In an earlier e-mail I had listed all the Math Stat
textbooks that I've heard of (below).
Here are a few more to add to the list:
10. Stat Labs -- Mathematical Statistics Through
Applications by Nolan and Speed (Springer)
11. Introduction to Applied Statistics, a modeling approach
by J.K. Lindsey (
12. Probability and Statistics by Degroot
and Schervish (Addison-Wesley).
-- Bob Dobrow