- Thread starter claudius
- Start date

I think that you can learn a lot of stats theory without real analysis. Many theorems from real analysis etc, cauchy schwarz and friends for example, have specific representations in the math stats course that can be learned there "on the fly"".

Of course, you can take alot of analysis and not learn the most basic statistics theory like sufficiency etc..

On the other hand, many technical details about the mathematics involved in a Math Stats Course are only taken up in real analysis class.

I think too many grad students get caught up in trying to spend all their time learning sophisticated statistical techniques. This diminishes their focus on pure mathematics.

my god......maybe it's because i'm dealing with this as we speak but why *does* a stats student have to focus on pure mathematics..ever?

i think half of the problem is the attitude. yeah, they're hard, but so what? just give it your best shot and study extra hard. now, if you cant follow the courses regardless how much you try... i dunno... why not consider a program that focuses on data analysis more and less on the theoretical aspects of math? there're always quantitative-oriented programs in social sciences depts at the unis if you look for them...

one thing that helped me out was taking lots and lots of notes, even if i didnt understand everything that was being said at first so that later, in the quiteness of the night, i would take them out and review them until it all started to make sense... or ask a bazillion questions! you're paying for this thing!

i chose the program because i love the material (outside of calc/mathstats), and i can't think of very many topics at all i would have loved to study for this long.

With that said... the single most important statistics course I took while in my undergrad was Math Stat I&II (ok so it was two courses but you get the point). To me those courses connect pretty much everything you've learned previously and put it on a solid ground. This is good because it actually gives you the ability to figure out if what you're doing is appropriate or not. It also allows you provides you with the tools to deal with situations you may not have encountered before. This might not be you want to do (figuring out new methods) but it's still

I'm a stats grad student so I'm slightly biased. I love the theory I'll admit it. But being able to think mathematically is an important skill. It might be painful to get through but keep your head up and I'm sure you'll get through it.

i don't know what to say.... its just so remote from everything.

And just so you know - it's probably my guess that not everybody here had everything come easy. It takes a long time to learn and sure it might come

I know I personally struggled with quite a few things.

ok, nah, on a more serious tone, i think we all had our moments where we just didnt wanna go on. but hey, such is life, and school is not the only place where it happens. you get up and try again and again and again and put more and more and more effort until eventually you crack it...

ps- but dason's right. mathematical statistics is where you start seeing the connections... i'm thinking, you mentioned that you need to take a stream of 2 courses in math-stats. what's course #2 on? maybe there's something there that intersests you and motivates you to just be done with course #1

Also - what book are you using?

For a long while I've been wondering about how much value there would be in trying to take some courses in basic mathematical statistics

take them.. take them all! do a 2nd degree if you need to!

IMO it seems to be easier than the one by Berger and Casella; in my year one courses, they should have cover almost all of the first 4 chapters. The latter two chapters can be studied in year 2 (onward) courses. (Here I am refer to a 3 year University degree)

Not sure which part of the calculus makes you feel frustrated but feel free to discuss