[R] estimating rho of Poisson distributed data

[Peter Ehlers]

Titus von der Malsburg wrote:
> On Fri, Jan 15, 2010 at 09:19:23AM -0500, David Winsemius wrote:
>> On Jan 15, 2010, at 5:59 AM, Titus von der Malsburg wrote:
>>
>>> Mean and variance of Poisson distributed data are specified by \rho.
>>> How can I estimate \rho for a set of measurements in R?
>> rho <- mean(x)
> 
> Yeah, thanks :-)  I was looking for a general way to fit a
> distribution.  Should've made that clear.  I'm surprised that nobody
> is complaining because I called lambda rho!
> 
Why would anyone complain? You're free to call it 'applesauce'
if that suits you.

What do you mean by 'general way to fit a distribution'?
Maximum likelihood might be one way.

  -Peter Ehlers

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-- 
Peter Ehlers
University of Calgary
403.202.3921