Jones wrote:
> k -> infinity gives the normal distribution. You probably don't care
> much about the difference between k=1000 and k=10, so you might
> try reparametrizing df on [1,infinity) to a parameter on [0,1]...
>
> albyn
>
> On Thu, Dec 10, 2009 at 02:14:26PM -0
Given X1,...,Xn ~ t_k(mu,sigma) student t distribution with k degrees
of freedom, mean mu and standard deviation sigma, I want to obtain the
MLEs of the three parameters (mu, sigma and k). When I try traditional
optimization techniques I don't find the MLEs. Usually I just get
k->infty. Does anybod
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