Hello to all,
I have two datasets of rain measurements, the first observed at the ground level, and the second estimated from satellite radar at same location (pontual data), on daily basis. You can see in attachment the two histograms.
I want to check if this two datasets came from the same distribution at 5% significance, and I used the K-S test in Matlab.
The basic algorithm is: If Ho is reject we eliminate in both datasets the position with major difference and perform again the test, and so on until we accept Ho.
My questions are, for this kind of data, the K-S test is the best test ? and the basic algorithm described make sense ?
Thank you very much!
I have two datasets of rain measurements, the first observed at the ground level, and the second estimated from satellite radar at same location (pontual data), on daily basis. You can see in attachment the two histograms.
I want to check if this two datasets came from the same distribution at 5% significance, and I used the K-S test in Matlab.
The basic algorithm is: If Ho is reject we eliminate in both datasets the position with major difference and perform again the test, and so on until we accept Ho.
My questions are, for this kind of data, the K-S test is the best test ? and the basic algorithm described make sense ?
Thank you very much!