Normalizing Variance Value


New Member
Dear all

LETvsAB Mean.jpg
I have a set of data points as show in the above figure. The data points were then binned together such that there are enough data points in each bin.

After binning, I determine the variance of each bin as shown in the color plot below where the color represent the variance value.
LETvsABvsVAR_3.jpg (Dark blue (smallest variance) - yellow(highest variance))

Since the variance determine is some what dependent of the number of data points and the area of the bin, is there any way I could "normalize" the variance value such that the larger area variance can be compared with the variance of the smaller area.

Thank you!!!


New Member
Hi, do you mean you want to optimize the size of the bins so that the variance is homegeneous accross bins?
Hi Camille

Yes, I want to find the variance of the data points in each bin, such that the determined variance values are comparable against each other. As of now, the bin size has a huge difference due to the lack of data points. Initially, I had tried to bin the data points such that there are enough data points in each bin to find the variance.