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Exact(17)
The use of the Inverse Normal method for censored survival data was demonstrated only for the logrank statistic.
The effectiveness of combining principal component analysis (PCA) with multi-linear regression (MLRA) and wind direction data was demonstrated in this study.
The necessity for normalization of the raw data was demonstrated, without the method being very sensitive to the type of normalization.
Using bespoke paintings designed for this work, a spectral library of selected pigments was established and the viability of training and the application of classification techniques based on this data was demonstrated.
The feasibility of the design to extract region-specific biomechanical data was demonstrated by conducting pure-lateral and anterior oblique sled tests using two different surrogates at a velocity of 6.7 m/s.
A procedure for extracting driver behavior information from video data was demonstrated.
Similar(43)
The method used to correlate the pure component vapor pressure data is demonstrated.
Good agreement between the theoretical analysis results and the various test data is demonstrated.
The sensitivity of the predictions from transposition models to inaccuracies in input radiation data is demonstrated.
Good agreement of the modified model with experimental data is demonstrated and the values of the respective parameters are determined.
The accuracy of the algorithm is evaluated using generated signals and its application to real data is demonstrated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com