May 19th, 2003, 04:39 PM
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Join Date: Dec 2002
Posts: 296
Time spent in forums: < 1 sec
Reputation Power: 11
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Quote: | what i'm trying to say is that the poission distribution models a count of the number of events occurring within a given interval. |
ok. the 'e', which is the event, occurs on avarage per interval 0.1794872 times - the way that's now stated fits with what you've said there.
Code:
m = 0.179487 (average number of random occurrences per interval)
Probability of occurrences in intervals :
------------------------------------------------------------------
0: 0.835699 83.57% < probability of no occurance
1: 0.149997 15.00%
2: 0.013461 1.35%
3: 0.000805 0.08%
4: 0.000036 0.00%
5: 0.000001 0.00%
6: 0.000000 0.00%
7: 0.000000 0.00%
8: 0.000000 0.00%
9: 0.000000 0.00%
10: 0.000000 0.00%
but that isn't much use really :/ not that i can see anyway. oh well.
well, if it doesn't fit or work, it doesn't work. fair enough. although i'm still not *completely* convinced a poisson formula can't be used for this in some way, but i see your point definetely.
Quote: | what you want to do, as far as i can judge, is to model the length of interval between events - this is, as i remember not what the poission distribution is used for - the exponential distribution models this. |
yeah, or the number of intervals more precisely.
ok, i will look into exponential distribution models.
thanks very much for the info and reply 
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