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To find out, the team analyzed real-world data with two computer models.
Thus, based on the above approach, we fit our data with two exponential functions.
We have designed the register file to hold four bit-serial data with two read ports and one write port.
The results indicate the robustness of support vector classification for the experimental data with two output classes.
Protein quantification data with two or more unique peptides identified with confidence > 99% and the p value < 0.05 were selective for further statistical analysis.
There are twelve boxplots corresponding to six channel data with two different types of tasks, indicated with two different letters M and C after the channel label.
The simulated datasets may first be used to look at the distribution of the data with two specific questions: 1) Is this distribution possible?
We have performed the inversion of fault-slip data with two softwares for paleostress calculations, combined with field observations at selected structural stations and photo-interpretation.
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Comparison of experimental data with two and three dimension finite element modelling results was also carried out and discussed.
To investigate how frequently the LARS algorithm selects the correct hypothesis in a confirmatory setting, we simulated data with two and three repeated binary exposures.
For instance, Anger and Heineck (2010) use German panel-data with two ultra-short IQ-tests to estimate the parent-offspring relation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com