Hello,As an example for Exponential distribution the MLE is got by this
structure:t <- rexp(100, 2)loglik <- function(theta){ log(theta) - theta*t}a <-
maxLik(loglik, start=1)print(a)Exponential distribution has a simple
loglikelihood function. But if a new pdf has a more complicated form
like:pr(N(2)=n)= integral( ((2-x)^n)*(exp(ax-2))) - integral (((5-ax)^n)), both
integrals are defined over the interval(0,2) with respect to x. I also need
to use the loglike of the form : [F log(pr(n))]=lnL where F is the vector of
observations and (n) is the vector of input for the defined pmf. Do you think
how I can insert (define) the pr(n) in the loop below? loglik <- function(a)
sum(F*(log(pr(n)))?> > n <- c(0,1,2,3,4,5,6,7,8)> > F<-c(0,0,1,3,5,7,8,11,10)>
> loglik <- function(a) sum(F*(log(pr(n)))??????> > re <- maxLik (loglik,
start=.5)> > summary(re)I would be grateful if you let me know your idea.Best
Regards,pari
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