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On one hand, a considerable advantage of such DEDR paradigm relates to its flexibility in designing the desirable error metrics in the corresponding image representation space via defining different descriptive cost functions [7, 9].
Further, if the sample has particular birefringence properties, one may benefit from selection of a system whose performance in a specific region of the optic axis-retardance space is optimal, though the system itself may manifest a less desirable error when averaged over the full optic axis-retardance space.
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The Lorentzian norm has desirable robust error metric properties.
This would lead to the self-selection bias mentioned above and to randomized errors, since we worked with a statistical power which was less than desirable (type II error).
Accuracy is desirable because superdirectivity is error sensitive, and calculation errors can destroy the superdirective property.
While further experimental analysis to address such errors is desirable (e.g. targeted PCR of predicted error locations or a recently popular choice of combining sequencing technologies such as 454 and Illumina), it incurs extra costs which we aim to avoid.
Thus, validation sub-studies using objective measures of physical activity within large epidemiological studies are desirable to quantify measurement error and later correct estimates of physical activity and health outcomes for measurement error.
The findings show that the three-factor solution is not optimal (though two of the three original factors are accurately reproduced) and that a four-factor solution better fits the responses, but with more error than desirable in both solutions.
The desirable technique for measurement error correction consists of adjusting each coefficient included in the meta-analysis individually using reliability information provided for the specific predictor and criterion measures in the study report.
The desirable response to such errors is for new legislation to be enacted to correct the mistake.
All of these states are searched for errors or desirable patterns.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com