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Future research suggestions and directions in improvising and extending the usage of these estimators in various chemical operating units are also presented.
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The unbiasedness of these estimators assures good estimation for large samples, but not for small samples.
By using the same estimates as in [ 23] for the mutual information values, our results reveal differences due to methodological differences only, not effected by the usage of different MI estimators.
The convergence of these estimators is analyzed.
Small sample properties of these estimators are investigated using simulation.
The design of these estimators is quite simple, as they are based on linear models.
Expressions of the asymptotic bias and variance of these estimators are obtained.
The utility of these estimators is demonstrated using electrochemical and reactive distillation processes.
Statistical properties of these estimators are straightforward [12], [28].
Further avenues of research include studying the statistical properties of these estimators for different situations.
The significance of these estimators was assessed using 1000 permutations.
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