, and so as a
function of 
, L is just a Gaussian which maximizes at
and has width
.
we say that
maximum likelihood estimate of 
is 
and its standard deviation is
.
you put in the shape of
is essentially independent of P as
and we get a Gaussian peaked at 
riding
on top of constant value 
.