Econometrica: May 1974, Volume 42, Issue 3
A General Procedure for Obtaining Maximum Likelihood Estimates in Generalized Regression Models
J. Kmenta, W. OberhoferThis paper describes an iterative procedure for obtaining maximum likelihood estimates of the parameters of a generalized regression model when direct maximization with respect to all parameters is difficult. A proof of convergence and some interesting applications are provided.
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