Sentence examples for based on both statistical from inspiring English sources

Two flowering stages, early and full, were investigated allowing for unique model evaluation based on both statistical performance and biological assumptions.

The number of subgroups retained was based on both statistical or visual (variance explained, dendrogram) and practical criteria (subgroup size).

We did the analysis using a formalised evaluation of effect modification based on both statistical significance and policy relevance, in line with previous work.

Based on both this statistical analysis and organisational observation, the paper goes on to analyse strategies designed to enhance the effectiveness of judgmental adjustments directly.

However, optimization based on both costs and statistical performance could yield a substantially different study design than what follows from optimizing only with respect to statistical performance [ 16, 17, 20].

PROWESS and PROWES-SHOCK trials are not comparable based on both clinical and statistical heterogeneity.

We also review some optimality results in the comparison of RR surveys of a binary variable, based on both privacy protection and statistical efficiency.

The results of this experiment show, based on both the graphical and statistical data analysis of the SNR, that the Time of CC system up while a Job MapReduce application is executed in our cluster has the most influence in the hard disk written.

The results of this case study show, based on both the graphical and statistical data analysis of the SNR, that the Load reduce task capacity into which is used by the Job in a MapReduce application in our cluster has the most influence in its job turnaround measure.

The results of this case study show, based on both the graphical and statistical data analyses of the SNR, that the Memory utilization required to process a MapReduce application in our cluster has the most influence, followed by the Time of CC system up and, finally, Network Rx bytes.

Models were built by using purposeful selection, a 5-step method for selecting variables based on both biologic importance and statistical significance.