Hi,
assuming the assumption of Poisson distribution is true (or at least
approximately true), you can use MLE as mentioned by Roland using
(fitdistr of MASS, mle of stats4, MLEstimator of distrMod, probably more).
Using package distrMod you can compute minimum distance estimators (cf.
function MDEstimator).
Using package ROptEst you can compute (in some sense) optimally robust
estimators (cf. function roptest).
Best,
Matthias
Rau, Roland wrote:
Hi,
-----Original Message-----
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Saeed Ahmadi
Sent: Monday, March 02, 2009 3:16 PM
To: r-help@r-project.org
Subject: [R] Finding Lambda in Poisson distribution
Hi,
I have a dataset. First of all, I know that my dataset shall
follow the
Poission distribution. Now I have two questions:
1) How can I check that my data follow the Poisson distribution?
2) How can I calculate Lambda of my data?
is this maybe some homework?
For 2): I simulated data and did some simple MLE. I don't know if this
is the recommended way, but it worked fine for me.
Best,
Roland
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