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Three alternative numerical strategies ready-to-use by a common practitioner and directly implementable in commercial codes are critically compared in the prediction of the non-linear behavior of a small masonry building prototype, with an estimation of the efficiency of masonry retrofitting by means of traditional strengthening with steel bands.
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Experimental observations are further compared in the present work with computational predictions.
Their performances are verified against experimental test cases and their optimality is compared in terms of the prediction accuracy, computational efficiency and ease of implementation.
In this communication, several sliding friction formulations used in spur gear dynamics are examined and compared in terms of the predictions of interfacial friction forces and off-line-of-action motions.
The optimism (Bleeker et al., 2003) of within-family predictive ability in the training data sets was substantial, as shown by the discrepancy between mean within-family R in the training sets compared with the prediction ability (Ra) measured in validation data sets for both single-family and joint-family methods and for every combination of trait and significance thresholds.
The difference in patient distribution between the two prediction models was, however, significantly different, as the PLM scale had more AD patients in class 3 as well as more NAD patients in class 0 compared with the prediction obtained with the logistic regression.
It can then be visually checked whether 90% of the observations are within the indicated prediction interval and whether there is no bias in the observations compared with the prediction interval.
The calculated Prediction values are compared with the Prediction values included in the archive.
It was shown that the predictions (in terms of R2 or RMSE) of microarchitectural parameters was not enhanced when combining 2 or 3 QUS in multiple linear regressions compared to the prediction obtained with one QUS parameter alone.
However, little information exists in comparing the prediction accuracy of such methods in hybrid rice population.
However, serum PCT was superior compared to CRP in the prediction of mortality with a greater area under the ROC curve (0.76 vs 0.733).
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