Simultaneous interpolation and parameter estimation, a method of maximizing a likelihood function with respect both to parameters and to certain missing observations, is a relatively unexplored area of research. Here, for the single equation case, numerical estimation procedures are given, along with several numerical estimation examples. The theory is also developed for simultaneous equation systems. This study was prepared for submission as a doctoral dissertation to Northwestern University.
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