Sentence examples for by means of data analysis from inspiring English sources

To identify the parameters involved in the overall and local models, the so-called imprecise training samples are constructed from running data by means of data analysis and expertise knowledge.To validate the proposed method, a numerical experiment was designed based on a UCI dataset, and the experimental results suggest its power for predicting evaluation of variables with uncertainty.

Statistical analysis of zif268 expression was performed using a nested-design ANOVA model to investigate the effects of group, area, layer, region, and section nested in cat by means of data analysis software system STATISTICA version 10 (Pavlidis 2003).

Thereafter, the impact of IRE and macro-ergonomics factors is examined by means of data envelopment analysis (DEA) and fuzzy DEA approaches.

The environmental and cost efficiency of pesticide use is assessed by means of data envelopment analysis (DEA) and the external effects of pesticide are quantified by means of the pesticide leaching potential.

This paper estimates changes in total productivity, breaking this down into technically efficient change and technological change, by means of data envelopment analysis (DEA) applied to the hydroelectric energy generating plants of EDP — the Portugal Electricity Company.

In such a perspective, taking Italian regions in the period 1995 2010 as a case study, TDs performance is evaluated and the effects of WHL are assessed, by means of data envelopment analysis (DEA) two-stage approach, in which the determinants of efficiency scores are investigated, employing semiparametric regression.

In a report Velculescu et al., by means of data base analysis of SAGE libraries, found that ~1,000 genes are present in all normal or tumor tissues analyzed with over five copies per cell [ 30].

A mixed-methods design was used, combining qualitative and quantitative data by means of sequential data analysis and triangulation [ 16].

A mixed-methods design was used, combining qualitative and quantitative data by means of sequential data analysis and triangulation.

This data was uploaded and analyzed by means of qualitative data analysis software (Atlas.ti).

It is shown that the application of functional reconstruction together with a preprocessing of the time series by means of chaotic data analysis methods furnishes an efficient on-line nonlinear predictor.