In general Poisson data consists of a pair of numbers (y,n), where y is
the event count for the unit and n is the size of the unit. The Poisson
MLE is sum(y)/sum(n). A general example is county level data where y is
the number of events (rare cancer) and n is the county size. Two
special cases a
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From: Peter Ehlers
To: Kjetil Halvorsen
Cc: r-h...@stat.math.ethz.ch; ankush...@yahoo.com
Sent: Tue, October 27, 2009 10:15:31 AM
Subject: Re: [R] MLE for lambda of Poisson distribution using fitdistr
Kjetil Halvorsen wrote:
What is wrong with using
mean(x)
to get the MLE of the poisson lam
he poisson lambda?
Thanks again!
Ankush
From: Peter Ehlers
To: Kjetil Halvorsen
Sent: Tue, October 27, 2009 10:15:31 AM
Subject: Re: [R] MLE for lambda of Poisson distribution using fitdistr
Kjetil Halvorsen wrote:
> What is wrong with using
> mean(x)
Kjetil Halvorsen wrote:
What is wrong with using
mean(x)
to get the MLE of the poisson lambda?
and
mean(x)/length(x)
to get its estimated variance.
-Peter Ehlers
Kjetil
On Tue, Oct 27, 2009 at 9:17 AM, David Winsemius wrote:
On Oct 26, 2009, at 11:25 PM, ankush...@yahoo.com wrote:
What is wrong with using
mean(x)
to get the MLE of the poisson lambda?
Kjetil
On Tue, Oct 27, 2009 at 9:17 AM, David Winsemius wrote:
>
> On Oct 26, 2009, at 11:25 PM, ankush...@yahoo.com wrote:
>
>> Hi,
>>
>> I am using the fitdistr of MASS to get the MLE for the lambda of a Poisson
>> distribu
On Oct 26, 2009, at 11:25 PM, ankush...@yahoo.com wrote:
Hi,
I am using the fitdistr of MASS to get the MLE for the lambda of a
Poisson distribution.
When i run the fitdistr command, i get an output that looks like -
lambda
3.75
(0.03343)
Couple of questions -
1. is the ML
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