Sentence examples for distribution characteristics with from inspiring English sources
If exceeds the threshold, then the distribution of the sample is said to be inconsistent with the assumed distribution with significance level p. For below the threshold, all that can be said is that the distribution of the sample is not inconsistent with the assumed distribution characteristics, with significance level.
The 443 predicted genes revealed that Zingiberales genes share GC content and distribution characteristics with eudicot and Poaceae genomes.
The inventory distribution characteristic with high-west and low-east in the subtropical Pacific is more distinct in 1994 than in 1973, and the simulated results in 1994 are closer to the observations than those in 1973, especially in RUN2.
When the fracture conductivities are finite, the contribution of outer fractures near the endpoints of the horizontal wells to the total productivity decreases, and the contribution of middle fractures within each stage increases significantly, but the overall distribution characteristics are in accord with the former case.
2-D finite element models of 15 fibres with different distribution characteristics (decreasing regularity in fibre arrangement) were created, and CFD simulations were carried out to determine the permeability.
The Rosin-Rammler model was used to describe the size distribution characteristics (SDC) of the feed, with the parameter Dx and n describing the fineness and particles size variation of the feed respectively.
Experimental results confirm the efficiency and effectiveness of the proposed method in monitoring a suite of process variables with different distribution characteristics, showing that the proposed RBFNN PCA method is a reliable scheme as an effective extension to the linear PCA method.
This result, together with the distribution characteristics of motif 3, suggests that attempting the experimental validation of this motif is warranted.
Recently, MIREAP (http://sourceforge.net/projects/mireap/files/mireap/) and miRDeep [ 25] were developed for the identification and prediction of mature miRNAs from the heterogeneous background of high-throughput sequencing data based on the compatibility of miRNA biogenesis model with the distribution characteristics of short reads on candidate precursors.
With this, load distribution characteristics of splines under various combined loading conditions can be determined.
Considering the unique temporal and spatial distribution characteristics, the DITI-based model combined with the fuzzy cluster analysis method provided more accurate classification of the rainfall distribution zones.
