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To establish variances of estimates at varying spatial scales, a method using simple empirical estimates of the prediction error variance was applied using a validation dataset set aside to test and validate the analysis methods.
Experimental results conform and validate the analysis.
Post-study workshops in each of the states examined were used to present the preliminary findings to study participants in order to discuss and validate the analysis.
During the study AE noted own thoughts on preconceptions, study purpose, interviews, analyses and results and discussed sets of such thoughts, metapositions [ 27], with AB to further improve and validate the analysis.
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Cross validation is a technique in which data is partitioned into subsets, performing the analysis on one subset (called the training set), and validating the analysis on the other subset (called the validation set or testing set).
We have characterized these transitions by analyzing low-pH-induced fusion kinetics of individual virions and validated the analysis by computer simulation.
One round of cross-validation involves partitioning a sample of data into complementary subsets, performing the analysis on one subset (training set, 90% of the data), and validating the analysis on the other subset (testing set, 10% of the data).
The benefits of this are twofold: on the one hand it enables or support researchers in reproducing and validating the analysis of other labs, and on the other hand it allows researchers to analyze data in novel ways and/or with different methodologies that were not originally considered by the team who generated the data.
In this section, we present numerical results to give insight into optimal fronthaul compression for synchronization and to validate the analysis presented in the previous sections.
These data were used to provide insight into the implementation and to validate the analysis from the other data sources.
The experimental data from literature have also been used to compare and validate the theoretical analysis.
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