Are there other methods besides the Maximum Likelihood for estimating parameters in an incomplete data when a parametric distribution is assumed?
Yes. For instance, one often estimates (the distribution of) parameters for Bayesian models by MCMC sampling. See for instance the textbook Bayesian survival analysis. That's the other major technique I've seen used.