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More than 50% of the articles reviewed in this study present data that was analyzed with improper statistics.
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Another important limitation is the inability to determine whether the use of proper statistics would change the conclusions presented by studies that used improper statistical methods.
It should be acknowledged, however, that there has been some concern about the improper use of statistics in general and correlation in particular in the field of language testing which has gone unnoticed by fellow researchers.
The improper use of statistics in medical research has become a matter of much concern [ 10].
In this section, we derive an iterative FDE algorithm by applying WLP and exploiting the complete second-order statistics of the improper signals.
The utilization of the WL-MMSE equalizers brings a performance gain when compared to the strictly linear MMSE ones in the entire E b /N0 range, due to the complete use of the second-order statistics made available by the improper signal.
Thus, the improper nature of most signals forces us to consider the so-called augmented statistics to entirely describe their second-order properties.
The use of widely linear MMSE-designed equalization and precoding brings an error performance advantage with respect to strictly linear systems when improper constellations are transmitted, due to the complete use of the second-order statistics made available by these constellations.
However, if the transmitted signal comes from an improper constellation, widely linear processing can be used to take advantage of all the available second-order statistics from this transmitted signal, obtaining this way a performance gain when compared to the strictly linear case.
In contrast to other choices for uninformative priors, such as improper distributions, the implications of Uniform distributions also are readily apparent to researchers less familiar with Bayesian statistics.
About one-fifth issued death certificates sustained improper COD statements and only one-tenth had noteworthy errors that would threaten the quality of COD statistics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com