search for: lieklihood

...maximize a joint likelihood of 2 likelihoods (Likelihood 1 and Likelihood 2) in mle2, where the parameters I estimate in Likelihood 2 go into the likelihood 1. In Likelihood 1 I estimate the vector logN with length 37, and for the Likelihood 2 I measure a vector s of length 8. The values of s in Lieklihood 2 are used in the Likelihood 1. I have 2 questions: ##1 I manage to write the joint lieklihood (it's very long which is why I don't put it here), but I don't know how to write the correct argument for the mle2 function. Here is what I've tried: #################################...

Dear friends. In Carlin and Louis "Bayes and emperical Bayes methods.." 1996 the classical example of 12 independent tosses of a fair coin producing 9 heads and 3 tails is given. If the situation is seen as a fixed sample of 12, a binomial lieklihood is used, and Carlin et al reports a probability of 0.075. Using sum(dbinom(9:12,12,.5)) I obtain 0.073 Likewise, if the experiment is seen as continuing until 3 tails are noted, a negative binomial is used, and the authors find P = 0.0325, whereas sum(dnbinom(9:1000,3,.5)) gives 0.0327. These di...