Maximum Likelihood Estimators: Numerical Simulations
The theory presented in the previous chapter describes the behavior of the ML estimator only for a large number of observed modes. These asymptotic limits are too idealistic to be attained in reality. For this reason it is important to investigate numerically ML estimators under conditions where tracer data are limited in both time and space.
KeywordsNumerical Experiment Experimental Series Diffusivity Estimate Function Minimum Forward Problem
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