Register to reply

Exponential binning

by atillaqurd
Tags: binning, exponential
Share this thread:
atillaqurd
#1
May15-13, 05:16 AM
P: 2
Hi,

I need to find out how to plot my data with exponential binning.
To better see the exponent of f(x) = x ^ \alpha, where x and f(x) are given, I am asked to do exponential binning the data.

Would appreciate you help.

Yours
Atilla
Phys.Org News Partner Physics news on Phys.org
Organic photovoltaic cells of the future: Charge formation efficiency used to screen materials
Promising ferroelectric materials suffer from unexpected electric polarizations
Structure of certain types of beetle shells could inspire brighter, whiter coatings and materials
mathman
#2
May15-13, 02:31 PM
Sci Advisor
P: 6,057
Use semilog graph paper.
Mute
#3
Jun9-13, 12:54 PM
HW Helper
P: 1,391
It seems the OP hasn't replied, but there are some important issues that need to be addressed here, so I will comment on them for any future posters who stumble across this thread.

If you are generating histograms of something which you expect to follow a power law ##y(x) \sim x^\alpha##, you need to use logarithmic binning, not exponential binning.

That is, you want your bins to be equally spaced on a log scale, which means you want the edge of the $k$th bin, B(k), to be given by

$$\log_{10}(B(k)) = m \log_{10} (k) + c,$$
where m is the slope and c is the intercept, which are determined by your bin range and your number of bins. For example, if you want 10 bins between 10-6 and 100, then ##B(0) = 10^{-6}## and ##B(10) = 10^0##, and you can solve for m and c.

Now, this next point is extremely important: when using logarithmic binning, you must divide your y-data by the width of the bin. If you do not do this, the power of ##x^\alpha## that you measure will be wrong.

Furthermore, when estimating power laws from data, if you need anything more than a rough estimate, a linear regression is a terrible way to find the exponent. It is very prone to systematic errors. Maximum likelihood fits are a much better method. See this preprint for a discussion of properly calculating power laws from data (as well as using hypothesis testing to see if you can rule out other behaviors like log-normal distributions).

atillaqurd
#4
Jun10-13, 07:59 AM
P: 2
Exponential binning

Thanks indeed!


Register to reply

Related Discussions
Proving a matrix exponential determinant is a exponential trace Calculus & Beyond Homework 13
Mathematica: Binning 2D data Math & Science Software 8
Binning a unit sphere Calculus & Beyond Homework 5
Data binning Set Theory, Logic, Probability, Statistics 4
Silicon binning techniques Electrical Engineering 0