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Recent publications recommend the use of multiple methods.
Figure 6 Simulation results of multiple methods on four datasets (spread of influence).
We demonstrate that a combination of multiple methods detected different signals prior to the Kumamoto earthquakes.
With care, and perhaps judicious application of multiple methods, satisfactory estimates may be possible.
The combination of multiple methods may enhance the reliability of the revealed anomalies when compared to the reliability of a single method.
Given the widely different scales of anomalies in time and space, a combination of multiple methods was able to detect different signals prior to the Kumamoto earthquakes.
In the fields of computational chemistry and cheminformatics, data management and analysis require the sequential application of multiple methods and algorithms.
In this work an experiment performed in laboratory conditions, for the purpose of comparison of multiple methods for one-dimensional (1D) deformations detection, is described.
Therefore a systematic body of knowledge on the benefits and costs of multiple methods of computational prototyping for the construction of physical prototypes need to be identified.
For this reason, the integration of multiple methods was adopted in this study and proved to be an effective and reliable approach.
Given the challenges in accountability research, extensive sensitivity analyses and use of multiple methods would provide more compelling evidence than the use of any single approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com