Re: Bimodal distribution

2001-10-15 Thread Robert J. MacG. Dawson
Desmond Cheung wrote: > > Is there any mathematical analysis to find how much the two peaks stand > out from the other data? Is there any formulas to find the > variance/deviation/etc that's similar to the unimodal distribution case? In answer to the latter question - excatly the ones

Re: Bimodal distribution

2001-10-13 Thread Donald Burrill
ends on the model(s) you wish to entertain that would generate a bimodal distribution. The more usual question, I believe, is how much separation there is between the modes ("peaks"), which is a horizontal distance, rather than how much the modes "stand out from the other data&qu

Bimodal distribution

2001-10-12 Thread Desmond Cheung
Is there any mathematical analysis to find how much the two peaks stand out from the other data? Is there any formulas to find the variance/deviation/etc that's similar to the unimodal distribution case? Thanks a lot. Cheers, Desmond ==

Re: Cross-correlation of two random signals gives bimodal distribution

2000-11-01 Thread Robert J. MacG. Dawson
I don't knwo Matlab, but: > > I create two random signals (each 100 points from gaussian distribution > from -1 to 1) You mean 100 IID Gaussian-distributed points, indexed by values from -1 to 1? (I'm assuming this, anyway.) and find the maximum cross-correlation value (eithe

Re: Cross-correlation of two random signals gives bimodal distribution

2000-10-31 Thread Rich Ulrich
On Mon, 30 Oct 2000 18:54:12 -0800, "G. Anthony Reina" <[EMAIL PROTECTED]> wrote: > I'm having a problem concerning cross-correlation and was hoping someone > could help explain. > > Here's what I'm doing: > > I create two random signals (each 100 points from gaussian distribution > from -1 to

Cross-correlation of two random signals gives bimodal distribution

2000-10-30 Thread G. Anthony Reina
I'm having a problem concerning cross-correlation and was hoping someone could help explain. Here's what I'm doing: I create two random signals (each 100 points from gaussian distribution from -1 to 1) and find the maximum cross-correlation value (either negative or positive, whichever has the l