Hi, a quick question:
I am reading Silverman (Density Estimation, 1987), and hoping to apply
it to some work I am doing.
Let's say that I have a series of data, recurrent over several years.
For each year, I estimate a kernel density function, and plot the
results.
Given the density functions for each year, is there a way to test if
these density functions are statistically 'different?' ( I realize that
kernel density estimation is non-parametric)
Any help greatly appreciated.
Christopher Leslie
Economic Integration Research Center
University of Wroclaw (Poland)
[EMAIL PROTECTED]
[EMAIL PROTECTED]
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