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(10)Here Ω a,p and Ω b,p are predicted by data reduction of critical shifts compiled in Islam et al. (2015); Ω a and Ω b are obtained from the standard PR EOS (Peng and Robinson 1976).
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However, a lot of valuable information may be lost by data reduction using shift tables only.
When we combine f1 with f3, the recognition rate drops by one point, but a data reduction of 31.3 % is obtained.
Therefore, whether dealing with 454 or Illumina data, we recommend combining annotations from contigs and unassembled (debris) sequences for 454 samples and employing a two-step data reduction of assembly followed by clustering of contigs and debris for Illumina.
These differences may be explained by different data reduction techniques, such as definitions of non-wear time, which were used in the studies.
By comparing the data reduction methods in terms of both overall data variance as well as experimentally relevant variance, stronger inferences can be made about how well the methods perform.
The strategy used in this study was to obtain maximally possible number of candidates, followed by a series of data reduction to filter out genes.
The first approach contains two methods of data reduction (by Dixon and Mood as well as that by Zhang and Kececioglu) based on simulated staircase test data.
Because of the information density of NMR spectra, data are routinely analysed by a combination of data reduction and pattern recognition methods using multivariate statistical analysis, such as principal components analysis (PCA) or partial least squares discriminant analysis (PLS-DA) [22].
This significant difference is due to the sheer volume of data reduction achieved by collapsing a large number of map outputs into a very small number of outputs from each Combiner.
By the results of data reduction, we can make a new shop floor control (SFC) data which can be used for calculating logit more easily and practically.
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