Quantitive Histogram Comparison

RobbieM.
Messages
7
Reaction score
0
I have two histograms that I would like to compare quantitatively. The values of the first histogram have respective relative errors for each bin. The second histogram has no statistical uncertainty.

I could compute probabilities for each bin that the exact values would fall into a given uncertainty range about the corresponding value in the other distribution... but I'm wondering if there are more sophisticated alternatives that I could apply.

If it is relevant, the width of the sample space is the same for all the bins and values in the distributions span several orders of magnitude.
 
Physics news on Phys.org
Just in case that numerous people haven't already suggested this to you, try Pearsons Chi-square test.
 
Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...
Thread 'Detail of Diagonalization Lemma'
The following is more or less taken from page 6 of C. Smorynski's "Self-Reference and Modal Logic". (Springer, 1985) (I couldn't get raised brackets to indicate codification (Gödel numbering), so I use a box. The overline is assigning a name. The detail I would like clarification on is in the second step in the last line, where we have an m-overlined, and we substitute the expression for m. Are we saying that the name of a coded term is the same as the coded term? Thanks in advance.
Back
Top