Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

The existence of maximum likelihood estimates for a class of heterocedastic regression models in considered. For a given dispersion function we show that, under a weak condition, the likelihood in ...

Banker and Maindiratta (1992) provides a method for the estimation of a stochastic production frontier from the class of all monotone and concave functions. A key aspect of their procedure is that the ...

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