Daryl Robbins wrote:
>
> Thanks for the message.
>
> I do have a bit more Calculus theory under my belt than is taught in an
> average ugrad intro calc course. I am in the process of reading through some
> of Apostol's text and have spent some time sitting in on a pure math calc
> course. However, I do not have any Analysis.
When you have read Apostol, you *will* have some analysis.
Some books that you can then look at:
*Kalbfleisch, Probability and Statistical Inference (2 vols, Springer).
Slightly dated. perhaps, esp. in terms of use of computers. Good on the
theory.
*Jaynes, Probability Theory, The Logic of Science (CUP). (Most of it)
used to be available online, but CUP, withan eye to the bottom line,
asked that it be removed <sigh />. Some useful related stuff still at
http://bayes.wustl.edu/. This book is *not* in the mainstream of
statistical thought; some think that it may be the basis of 21st century
statistics. For myself, I don't know, but it should be read; it explains
some of the foundations of *today's* statistics very well. It is very
easy to read.
*Rice, Mathematical Statistics and Data Analysis (Duxbury). More
applied, moderately mathematical.
*Lunneborg, Data Analysis by Resampling (Duxbury) - another approach to
stats, especially if you can program!
*Wardrop, Statistics: Learning inthe Presence of Variation (WCB),
stress on experimental design
*Berry and Lindgren, Statistics - Theory and Methods Good elementary
overview of both classical and Bayesian techniques.
-Robert Dawson
.
.
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