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Ch - 14 : Testing Fit

S

Siddhi

Member
Can you please explain Kolmogorov-Smirnov & Anderson-Darling goodness of fit.
In both the case, they are measuring the distance between the empirical distribution function & the CDF of the reference distribution.
So, how are they different?
 
Hi Katherine,
Sorry I am not unable to understand the concept of the same. It would be great if you can explain the same.
 
Please avoid addressing your questions directly to tutors. This forum is a place where students can ask help from each other, and so improve their own understanding. By asking us directly, it discourages others from answering.

The Anderson-Darling statistic places more weight on differences in the tails of the distribution. Hence, the A-D test is more sensitive to deviations in the tails while the K-S test is more sensitive to deviations in the centre of the distribution.
 
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