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This estimator has also been applied by Pfutze (2014) to estimate the program's impact on infant mortality.
This estimator has been shown to converge rapidly towards the entropy rate [31].
This estimator has the advantage of correcting heteroskedasticity and contemporaneous correlation.
This estimator has the same form as the algorithm defined by (63).
Moreover, this estimator has robust performance in the presence of model uncertainty and measurement noise.
Also, this estimator has 29 % breakdown point, which means that it remains consistent even if about 29%percentnt of the data have been contaminated.
Similar(40)
This process guarantees that the estimator has the same rank with the real channel.
To remedy this, it is clear that the estimator has to be refined.
However, the estimator has a basic weakness.
A sensitivity analysis demonstrates that the estimator has good robustness.
This variance estimator has the advantages of not being affected by any unknown bias, i.e. systematic errors, between pairs of measurements [27].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com