If I were to teach a course aimed at the audience described by Professor Rubin, the book I would use is _Numerical Methods of Statistics_ by John F. Monahan, published by Cambridge 2001. This is a very good book. The outline (a listing of chapters) can be found at Monahan's webpage:
http://www.stat.ncsu.edu/~monahan/ Just last month I finally got to spend several hours with the book. My great regret is that I don't have Fortran 95 compiler, so I can't play with all the nifty programs that come with the book. I do not know Professor Monahan at all. Hope this helps. Bruce McCullough Associate Professor Dept. of Decision Sciences Drexel University "Glen Barnett" <[EMAIL PROTECTED]> wrote in message news:<a8oirc$hso$[EMAIL PROTECTED]>... > Herman Rubin <[EMAIL PROTECTED]> wrote in message > a8l2s4$[EMAIL PROTECTED]">news:a8l2s4$[EMAIL PROTECTED]... > > I am looking for a good text for such a course; I have > > taught this many times, but I have been dissatisfied > > with the texts I have used, not that I am likely to > > really like another one. > > > > The aim of this course is not to carry out routine > > analyses, but to convey the ideas needed to find good > > methods for computing in non-routine situations. The > > level of the course is that the student has had a > > graduate level course in probability, and also in > > statistical theory, and is on speaking terms with > > linear algebra, real analysis, and complex analysis, > > but need not have had any previous course in numerical > > analysis; I do not believe in cookbook before theory. > > If you find one you like, let us know. > > Glen . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
