[Scipy-tickets] [SciPy] #1647: BUG: stats: _argcheck function
for the erlang distribution is misnamed.  SciPy Trac scipy-
tickets@scipy.... Sat May 5 14:21:37 CDT 2012   Reporter:
warren.weckesser  |       Owner:  somebody          Type:
defect            |      Status:  needs_review  Priority:
normal            |   Milestone:  Unscheduled  Component:
scipy.stats       |     Version:  0.10.0        Keywords:
|    Comment(by josefpktd):   about fit. My guess (!) is that if
the function is nicely behaved, then  using continuous
optimization (with low precision for convergence of  parameters)
should be faster than integer search without good starting
Just rounding the shape parameter won't be enough, because we
would have  to reestimate loc and scale (if they are not fixed)
with the rounded  parameter, and most likely have to check both
sides (floor and ceil).   What I tried to explain with the
example of fitting the t distribution,  is, that I don't know if
someone would want this. The f