Hey Jakob, Thanks for your reply. I used R and solved my problem. It has a package with the name of fitdist that gave me the estimation. However, I would also like to get the result from SAS and compare it with R and I really appreciate your support. Please let me explain that. We collected the data from some devices and they are able to count the data within a minutes. For example, we had 10 observation in 12:01, 15 in 12:02, and so forth. I randomly distributed the data (10 obs) in the first 60 sec, and the 15 obs in (60 to 120 sec) and count the interarrival of obs. In this case, I got a result like this: 1, 200 2, 400 3, 150 The first row means I had 200 objects that arrived with the difference of 1 second, 400 objects with two seconds arrival rate, and so on. to do that, I wrote a function to repeat 1, two hundred times, repeat 2, four hundered times, and ... Now, I would like to investigate which distribition they follow. Since some of the devices were faulty, I had some wrong data that needed to be consored, and those are obs<3 sec and obs>500 sec. I would like to do interval censoring for ❤️ and probably right cens for obs>500. I hope I could have explained clearly. If you need more information, please let me know. Cheers, Mohsen
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