Thanks, that was exactly it -- switching the values did the trick (and
was actually correct in terms of theory.) And of course, you are right
-- i changed the starting values to mean(x) - mean(y) for mu and
sqrt(var(x-y)) for sigma.
I also see your point about the theoretical justification for the
On 22 Jul 2014, at 06:04 , David Winsemius wrote:
>
> On Jul 21, 2014, at 12:10 PM, Ronald Kölpin wrote:
>
>> Dear R-Community,
>>
>> I'm trying to estimate the parameters of a probability distribution
>> function by maximum likelihood estimation (using the stats4 function
>> mle()) but can't
On Jul 21, 2014, at 12:10 PM, Ronald Kölpin wrote:
> Dear R-Community,
>
> I'm trying to estimate the parameters of a probability distribution
> function by maximum likelihood estimation (using the stats4 function
> mle()) but can't seem to get it working.
>
> For each unit of observation I hav
Dear R-Community,
I'm trying to estimate the parameters of a probability distribution
function by maximum likelihood estimation (using the stats4 function
mle()) but can't seem to get it working.
For each unit of observation I have a pair of observations (a, r)
which I assume (both) to be log-nor
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