Fitdistr and MLE for parameter lambda of Poisson distribution
Bernardo Rangel tura wrote:
At 09:35 AM 2/10/2006, Gregor Gorjanc wrote:
Hello!
I would like to get MLE for parameter lambda of Poisson distribution. I
can use fitdistr() for this. After looking a bit into the code of this
function I can see that value for lambda and its standard error is
estimated via
estimate <- mean(x)
sds <- sqrt(estimate/n)
Is this MLE? With my poor math/stat knowledge I thought that MLE for
Poisson parameter is (in mixture of LaTeX code)
l(\lambda|x) \propto \sum^n_{i=1}(-\lambda + x_iln(\lambda)).
Is this really equal to (\sum^n_{i=1} x_i) / n
--
Lep pozdrav / With regards,
Gregor Gorjanc
Gregor, If I understood your LaTeX You is rigth. If you don??t know have a command wich make this for you: fitdistr() Look:
d<- rpois(50,5) d
[1] 6 4 6 4 5 5 4 11 7 5 7 3 5 10 4 9 4 2 4 5 4 4 9 3 10 [26] 4 3 9 6 7 5 4 2 7 3 6 7 8 6 6 3 3 3 2 5 4 3 8 5 7
library(MASS) fitdistr(d,"Poisson")
lambda 5.3200000 (0.3261901)
Thanks for this, but I have already said in the first mail, that fitdistr can help me with this. I was just "surprised" or knowledge undernourished, that there is closed form solution for this. Look into the source of fitdistr.
Lep pozdrav / With regards,
Gregor Gorjanc
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University of Ljubljana PhD student
Biotechnical Faculty
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