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"Most economic data are nonsense" from month to month, Ian Shepherdson, an independent economist, wrote on Twitter, meaning that they contain a large amount of statistical noise.
Also, a large amount of statistical data can be quickly obtained.
Moreover, the large amount of statistical data can be used for big data and machine learning studies, which are becoming very popular in modern power systems.
This is due to the fact that HRS can still be much higher than LRS, in spite of the large amount of statistical variation in LRS and HRS.
Due to the uncertainty of the annihilation event's position along a given line-of-response (LOR), there is a large amount of statistical noise that is inherent to conventional PET image reconstruction.
This allows the fast determination of a large amount of statistical data such as Reynolds- and Favre-averaged mean reaction progress and velocities, which are needed for the density-weighted sets of equations used in the numerical codes.
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This is due to the fact that HRS can still be much higher than LRS, in spite of large amounts of statistical variation in LRS and HRS [9].
Data acquisition equipment delivers large amount of data making statistical and correlation analysis also possible.
Two non-dimensional indices are defined to quantify the differences and their expressions are generated through a large amount of numerical and statistical analyses.
Because of the large amount of resulting data, a statistical effects model is employed.
The Cambridge dataset also uses a large amount of input from national statistical sources to fill the missing values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com