Sentence examples for data analysis error from inspiring English sources

Data analysis error: quantitative analysis, classification systems and data generalization.

For the behavioural data analysis, error rates per condition, acquired during scanning, were subjected to a repeated measures analysis of variance with the factor Association.

The present work shows that four specific components of data analysis (error metric, error estimator, classifier, and event balancing) have significant and compounding effects on probability (i.e., statistical power) to detect true signal in molecular signatures.

For the surrogate data analysis, forecast error and time reversal asymmetry statistics are used.

In this paper methods for data analysis and error budgets, on-board data handling such as sampling strategy and data compression, and simulation software for end-to-end simulation are presented.

Here, we provide aLFQ, an open-source implementation of algorithms supporting the estimation of protein quantities by any of the aforementioned methods, and additionally provide automated workflows for data analysis and error estimation.

Results: We present a bioinformatics tool, termed aLFQ, which supports the commonly used absolute label-free protein abundance estimation methods (TopN, iBAQ, APEX, NSAF and SCAMPI) for LC-MS/MS proteomics data, together with validation algorithms enabling automated data analysis and error estimation.

Data analysis: Suggested errors now corrected.

Also it has been checked through real data analysis that the error rate for the LSVM is smaller than that for the ASVM and becomes stable quickly.

However, aside from a few studies mainly focused on data analysis and sequencing error rates next-generation sequencing has not been dirates next-generationher identification methodsequencingly for eukaryotic biota.

For each region, peak pressure, pressure-time integral, and trajectory of the center of pressure (CoP) were collected and the average of the six walking trials was used for data analysis to minimize error.