Birthday Problem with Realistic Assumptions

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Bacle
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Hi, All:

The standard way of approaching the birthday problem, i.e., the problem of
determining the number of people needed to have a certain probability that
two of them have the same birthday, is based on the assumption that birthdays
are uniformly-distributed, i.e., that the probability of someone having a birthday
on a given day is 1/365 for non-leap, or 1/366 for leap.

But there is data to suggest that this assumption does not hold; specifically,
this assumption failed a chi-square at the 95% for expected-actual, for n=480,040
data points.

Does anyone know of a solution that uses a more realistic distribution of birthdates?
 
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This paper seems to be exactly what you're looking for--

http://www.jstor.org/pss/2685309

but you will need access to a JSTOR account to see more than the first page.
 
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Excellent, 'Awkward' , thanks.