Abelson book is in paperback for $ 25.
Rich Ulrich wrote:
> On 07 Sep 2000 08:36:24 -0400, [EMAIL PROTECTED] wrote:
>
> > I'm looking for a good introduction to statistics textbook. I'm
> > interested in reading it mostly for fun and to become more "well
> > rounded" mathematically. I have a B.S. in mathematics and took a
> > single senior level statistics course in college (but have since
> > probably forgotten a lot of it). I routinely read mathematically
> > rigorous texts, so a rigorous (introduction) to statistics shouldn't
> > bother me a bit.
>
> Do you want to be introduced to formulas and applications? - then you
> might prefer to get an "Intro" book in some particular area.
>
> Or if your interest is Medicine, or Education, or Psychology, you
> might like a book of "Readings ... " drawn from one area. - For
> that, you could look among the textbooks at college bookstores.
>
> Here is what seems to be a good introduction to the thinking (rather
> than the formulas) for biostatistics and social sciences:
> "Statistics as principled argument" by Robert P. Abelson (1995).
> I discovered that book in the (on-line) syllabus for a psychology
> course in England; and I have learned that it is recommended to the
> local (U. of Pittsburgh) graduate students in psychology, too. I read
> the book from front to end, after checking it out from the library,
> and I am weighing whether to spend the $100 to buy it.
>
> Also, consider "Statistics on the table" by Stephen M. Stigler (1999).
> This includes much philosopy of science, which I enjoy. Stigler's
> earlier book, "The History of statistics to 1900," is probably better
> known. I bought the recent book, sight unseen, based on how much I
> liked the first one.
>
> Or, you could go to a library, and grab those books off the shelf, and
> browse in them, plus such titles as these --
>
> Greene's book "Econometric Analysis,"
> Zar's "Biostatistical Analysis,"
> Judd and McClelland's "Data analysis, A model comparison approach,"
> and, among the older textbooks,
> Kline or Nunnally on psychometric theory.
>
> - If you look at a selection, you can see what grabs your interest,
> and spend more time on that. I own all of the above, because I
> thought they were worth spending time on.
>
> --
> Rich Ulrich, [EMAIL PROTECTED]
> http://www.pitt.edu/~wpilib/index.html
--
===
Jan de Leeuw; Professor and Chair, UCLA Department of Statistics;
US mail: 8142 Math Sciences Bldg, Box 951554, Los Angeles, CA 90095-1554
phone (310)-825-9550; fax (310)-206-5658; email: [EMAIL PROTECTED]
http://www.stat.ucla.edu/~deleeuw and http://home1.gte.net/datamine/
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