Transformed-data MLE method

If we denote the log-likelihood function of the observed data set for a specific model as L(* ;DataSet), where * is a set of the unobserved capital structure parameters, the transformed-data MLE method is employed to find the values of * at which the observed data set has the highest likelihood of occurrence. The estimates for * are obtained by maximizing the log-likelihood function via the numerical scheme (specifically, the simplex method) of Nelder and Mead. If interested, I can discuss data feeds and API and end product screens.