Subject: [isostat] Math Stats textbook replies

From: Bob Dobrow <>

Date: Thu, 26 Oct 2006 12:46:35 -0500





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 (Cambridge)

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 Tanis ( Prentice Hall)

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 <>

Date: Thu, 02 Nov 2006 08:40:20 -0600





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 (Oxford)

12. Probability and Statistics by Degroot and Schervish (Addison-Wesley).


-- Bob Dobrow