I read the list of chapters and i have read the programs above, nothing is really new.
"David Heiser" <[EMAIL PROTECTED]> a �crit dans le message de news: [EMAIL PROTECTED] > > > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]On > Behalf Of Herman Rubin > Sent: Friday, April 05, 2002 12:53 PM > To: [EMAIL PROTECTED] > Subject: Text for numerical methods in statistics > > > 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. > ------------------------------------------------------------------------- > I've read your message, the message from B.D. McCullough, went to Monahan's > web page, went over the table of contents and went through several Fortran > programs. > > What is your objective? Do you want to have students just know what black > boxes to haul out to work on a problem or do you want your students to > understand the logic within the black boxes. FORTRAN is not a good language > to understand what is going on. All the heavily nested subroutine calls and > the obscure input/output make it almost impossible to understand what's > going on. > > Do you want to train programer's on how to develop commercial, copyrighted > stat programs? > > If you intend to try and impart understanding of "how things work", G.W. > Stewart's books and methods is a good way to go. He uses an algorithm > shorthand, from which he can discuss what is going on, step by step. From > the algorithms, one can write actual programs in C++. VB, Java, Fortran, > etc. > > If you want to teach black boxes using SAS or S or SPSS or LISREL.... that > is one way. > > If what you want to teach is how to take a JASA article (i.e. buried in > math) and how develop a computer program/subroutine/module ..... that does > the computations, then you would have to show how the math is interpreted in > language constructs. > > I am a little apprehensive about a book from Cambridge Press dealing with > computer programs. They were the ones who put out "Numerical Recipes", a > notorious collection of bad and buggy programs, and refused to put out a > corrected edition. > > DAHeiser > PS. Fortran was my first computer language back in 1960 on the old GE 225 > and IBM 7480? with magnetic bead memory. > > . > . > ================================================================= > Instructions for joining and leaving this list, remarks about the > problem of INAPPROPRIATE MESSAGES, and archives are available at: > . http://jse.stat.ncsu.edu/ . > ================================================================= . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
