Cochran (1950, Biometrics 10:417-451) recommends that no expected
frequency be less than 1.0.
---Jerry Zar
==========================
>>> "Daniel Hoppe" <[EMAIL PROTECTED]> 12/02/02 04:04AM >>>
Dear all,
I've a question regarding a goodness-of-fit to a Poisson distribution.
I
have the following observations from a buying process which I expect to
be
Poisson.distributed:
0 1 2
182 15 3
The mean and my estimator for lambda in the poisson distribution
therefore
is 0.105 with the following expected frequencies:
0 1 >1
180.0649 18.90681 1.028281
Now I would like to run a chi-squared goodness-of-fit test. But for
this
test the expected frequencies should be >= 5, so I would need to join
classes "1" and ">1". If I have two classes and one estimated
parameter, the
degrees of freedom should be 2 - 1 - 1 = 0 for the test which leads me
to
the assumption that this is not a good idea and that I'm missing
something.
Could someone kindly give me a hint, how I could test for a
poisson-distribution in this case?
Thanks in advance and best regards,
Daniel Hoppe
.
.
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