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seen Sep 1 at 23:13

Sep
1
revised Computing Fast Fourier Transform in R
added 23 characters in body
Sep
1
comment Computing Fast Fourier Transform in R
Yes, the stat program. sorry about the confusion, i'll make the edit. thought this forum would be more apt than stack overflow because it really is more of a math question.
Sep
1
revised Computing Fast Fourier Transform in R
added 63 characters in body
Sep
1
asked Computing Fast Fourier Transform in R
Aug
20
awarded  Popular Question
Jul
2
awarded  Curious
May
19
comment Interesting Probability Game With Uneven Return Scenarions
They don't sum to 1, they sum to .981921(etc)
May
19
revised Interesting Probability Game With Uneven Return Scenarions
added 60 characters in body
May
19
comment Interesting Probability Game With Uneven Return Scenarions
yes, I'll make the edit. Anyone have any idea on how to approach this conditional probability?
May
18
asked Interesting Probability Game With Uneven Return Scenarions
May
7
awarded  Notable Question
May
4
awarded  Yearling
Apr
10
accepted Combination of Choosing Identical Items into Identical Slots
Apr
10
accepted Properties of the two ratios added
Mar
9
asked Estimating Variance of Geometric Growth Function
Mar
8
revised Variance of an Iterative Normally Distrubuted Function
added 441 characters in body
Mar
8
revised Variance of an Iterative Normally Distrubuted Function
added 441 characters in body
Mar
8
comment Variance of an Iterative Normally Distrubuted Function
Did, I am not sure what I did wrong for you to be angry? I am stuck on the problem that's why I am seeking the advice of experts on this site. Is my question not legitimate?
Mar
8
asked Variance of an Iterative Normally Distrubuted Function
Mar
8
comment Sum of Random Distributions/ Unusual Results
Hi JPI, ha! yes, that is exactly what I was trying to simulate. One of the things I noticed when I ran the simulation, over 500 times (of the 1000 row cumaltive standard normal values) in excel, and I took the average of the 500x1000 matrix, row wise, the average was 0, as I would have thought. The variance on the other hand was the most intriuing, it was the $/sqrt(t)$ , where $t$ is a time trend (1,2,3,4,5...999,1000). I am trying to understand why that is the case.