set.seed(as.numeric(Sys.Date())) obs <- runif(2,0.5,4.5) theta <- sum(obs)/2 log.like <- dexp(obs[1], rate = 1/theta)*dexp(obs[2], rate = 1/theta)
Four distributions walk into a bar
Once inside, they observe $r obs[1]
$ and $r obs[2]
$ laying on the floor
The
The
The
The
What steps are required to show which distribution is correct?
Determine which member of the
Determine which member of the
Determine which member of the
Determine which member of the
Determine which of these best-fit distributions best fits the data
We could perform each of these steps analytically, but...
That would be painful and time-consuming
It would be of little benefit, since few real problems can be solved analytically
For the
For the
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