Hello,
 
I want to estimate the parameters of a binomial distributed rv using MLE.
Other distributions will follow.
The equation system to solve is not very complex, but I've never done such
work in R and don't have any idea how to start...
 
The system is:
 
(1)     n*P = X
 
(2)    [sum {from j=0 to J-1} Y{j} /(n-j)] = -n * ln (1-X / n)
 
 
where    * only X is given (empirical mean)
             * J is maximum observed
             * Y is the number of observations above j
             * n and P are the parameters of the binomial distribution to
find....
 
Who could help me with an example-solution for my "first" distribution ? I
also need a hint how to make the sum-element.
 
Maybe there's another - more simple - way to estimate the parameters...
first I tried via "FITDISTR" but without success.
 
Thanx a lot for your help.
 
Carsten

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