In article <3lIL2I$[EMAIL PROTECTED]>, <[EMAIL PROTECTED]> wrote: >I am going to study stat master program. >So I plan to take some courses in math department. >Could anyone suggest some important courses??? >I have already known linear algebra and caculucs.. >adnything else?... >like discrete math? real analysis? nymerical analysis? differential equation? >nonlinear system?............bala bala........
If you are thinking of ever going for a PhD, real analysis is essential. Also, while it is not used much in statistics, I would suggest abstract algebra. Point-set topology will greatly help in understanding; it has unfortunately been dropped from PhD programs. In applying statistics, complex variables and numerical analysis are quite important. Unfortunately, good introductory numerical analysis courses are too weak, as a good one would require real and complex analysis. But the "advanced" ones tend to be almost special topics. In some areas, partial differential equations are useful, but at a more theoretical level. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399 [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
