Statistical tests between multiple data sets and conditions were carried out using a one-way or two-way analysis of variance (ANOVA) followed by Bonferroni's post hoc test or the Newman Keuls multiple comparison test to determine statistical significance, as appropriate.
In this subsection, we provide an example to show that in the presence of diverse channel conditions, applying multiple data rates with a link adaptation mechanism cannot completely equalize transmission qualities, thereby causing a similar unfair behavior as shown in Subsection 5.1.
Therefore, it is needed to send multiple data simultaneously to improve system performance under the reasonable condition.
Furthermore, experimental measurement is often performed on multiple conditions or in a time series, which requires the simultaneous mapping of multiple data to observe the changes and differences.
The best questions involve multiple data sources.
single instruction, multiple data.
Monte Carlo methods were used to examine the utility of multilevel models for multiple-baseline data under conditions that varied in the number of participants, number of repeated observations per participant, variance in baseline levels, variance in treatment effects, and amount of autocorrelation in the Level 1 errors.
The Harbison data, which contain data from multiple growth conditions for many of the TFs, have been extensively analyzed.
Using microarray results from publically available data, it was possible to find gene expression data from multiple experimental conditions for several of the grapevine WRKY genes.
For modeling and monitoring large-scale plant-wide processes with big data from multiple operating conditions, a novel distributed parallel Gaussian mixture model is proposed based on the Hadoop MapReduce framework.
