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HRP is based on the address distribution and provides a simple and reliable measure for data transmission, though it is not always efficient and robust.
Download numbers, although easy to establish, are certainly no proper measure for data quality and significance.
In biology, however, a different measure for data spread might be useful as well, namely the biological range.
If only exactly matching figures were counted, data accuracy was even lower: while at Hospital A still 14.8% (4/27) data items were found to be correct, it was only 5.3% (2/38) items at Hospital C. Therefore, we tried to compare the continuity of the three reports at the study sites as a measure for data quality.
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We define an empirical influence measure for data-driven bandwidth selectors and, through it, we study the sensitivity of the data-driven bandwidth selectors.
Viscosity was measured for data of 457 crude oil samples gathered from different areas of USA, Canada, and South America.
We used posterior probability obtained from the ASR system and unit duration as confidence measures for data pruning.
Egocentric centrality measures (for data on a node's first-order zone) parallel to Freeman's [Social Networks 1 (1979) 215] centrality measures for complete (sociocentric) network data are considered.
We used strict measures for data quality assurance to collect robust data and data was verified with other sources such as government and private sector records.
The procedures for data dissemination should be defined when designing the surveillance system along with the measures for data storage in order to ensure future availability.
Exponential growth in the amount of biological data undoubtedly means potential bonanza opportunities; nonetheless, we need to develop revolutionary measures for data management, analysis and accessibility.
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