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Is there any difference between inter-arrival time and interval time?

Posted on 2013-12-12
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Last Modified: 2013-12-12
Hi

I am wondering some statistical books write inter-arrival time and other write interval time.
Is there any difference between them? if so, how can I calculate both?
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Question by:amq10
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TommySzalapski earned 225 total points
ID: 39714612
Inter-arrival time is usually used to refer to the time between events.
Interval time is usually used to refer to the length of time you observe for events.

For example, if you are looking at calls to a datacenter and there are 10 calls per minute your inter-arrival time would be 6 minutes.

And if you looked at 1 hour intervals, the number of calls per interval would be 600.

I hope that helps.
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by:TommySzalapski
TommySzalapski earned 225 total points
ID: 39714614
So generally you pick the interval, and then inter-arrival time is just interval/count_of_events
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by:amq10
ID: 39714668
Hi Tommy,

is the inerval like arrival rate ?
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LVL 37

Assisted Solution

by:TommySzalapski
TommySzalapski earned 225 total points
ID: 39714721
Interval is just a time period.
If you sample at 1 hour intervals, then that's your interval. 1 hour.

If that's not what you are talking about, perhaps you could point us to something that would help us understand how it is being defined in your case.
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Author Comment

by:amq10
ID: 39715182
Tommy,

I have arrival time like the below:
10:30
10:32
11:02
11:25

for more than 3000 requests. I need to get lambda to calculate the Poisson distribution. can you help me how can get that ?
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LVL 37

Expert Comment

by:TommySzalapski
ID: 39715207
lambda is just the average time between events. So divide the number of events by the total time.

If you have a start and end time, use total_requests/(end_time - start_time)

If you just have the times, then use (total_requests-1)/(last_request_time - first_request_time)
You subtract 1 because you have no way of knowing (in this case) how long it took for the first event to happen.
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Author Comment

by:amq10
ID: 39715239
Thanks you. it is so clear
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