Question: Maximum likelihood estimation

Hi All

Assume that we have a stochastic model with following density function

and our goal is to estimate unknown parameters namely, alpha, beta, landa, mu and sigma by any available method especially maximum likelihood estimation method.
How can we do it with maple software?

Does the "MaximumLikelihoodEstimate" command can help?

or should i define Maximum Likelihood function first and then differentiate it according to unknown parameters?

 

thanks in advance

 

Mahmood   Dadkhah

Ph.D Candidate

Applied Mathematics Department

Please Wait...