Sentence examples for data reduction methodologies from inspiring English sources
Data reduction methodologies are of particular importance to medicine since most secondary clinical databases contain only the data parameters of interest (Wang and Krishnan 2014).
This also implies that careful analysis and proper data reduction methodologies are necessary for measuring aerodynamic drag for non-metallic models in shock tunnels.
Multivariate linear regression (MLR) analysis, one of the oldest data reduction methodologies, continues to be widely used in Quantitative Structure Activity/Property/Reactivity (QSAR, QSPR, QSRR) studies [10, 68, 69].
The data reduction methodology applied in this paper is suitable for intralaminar fiber failure modes without significant delamination.
We also included the authors' result on the continuous age data set produced using elastic net data reduction methodology, which is also likely to produce highly specific results, but via a very different mechanism to our region-centric approach (Hannum et al., 2013).
However, as has been discussed, there are significant variations in research methodology, data reduction, populations, and statistics.
The design strategy and details of the data collection and reduction methodology are reported.
To construct this methodology, several data reduction process have been discussed.
Q methodology uses data reduction techniques, mainly factor analysis or principal component analysis (PCA) to identify relationships between individual Q sorts; in this study each factor (or principal component) represents a highly inter-correlated cluster of Q sorts, that is, the items were sorted in a statistically similar way.
Sample preparation, test methodologies and applicability of data reduction schemes are considered, with data obtained from within the range of aerospace and Formula 1 grades of carbon fibre/epoxy composites.
Since different research groups applied different levels of data reduction, Section 2 investigates how data-processing methodologies differed between articles.
