Sentence examples for a statistical prediction of from inspiring English sources
A statistical prediction of the fiber orientation state is of interest.
A statistical prediction of member deflection was established and analysed depending on the variability of material properties.
As just discussed, generalization along the cline of instantiation operates more in terms of a statistical induction; on the basis of past experience, the linguist builds up a statistical prediction of what features are likely to be exhibited by a particular text.
We show that on the basis of the membrane potential it is possible to make a statistical prediction of the time needed by the neuron to reach the threshold, and therefore the LTP part of the STDP algorithm can be triggered when the neuron receives a spike.
We could not find any statistical prediction of the following variables on received CVD advice: gender, employment, marital status, practice size, case-finding methods, community resources.
Design of a testing strategy involves statistical considerations, such as the development of a statistical prediction model.
We hope that this library will help enable a "phylogeny first" approach to whole-genome analysis tools based on the common hypothesis that good inferences of phylogenies will provide a stronger basis for statistical prediction of a broad class of genomic features than do raw variation data.
We evaluated a wide range of other characteristics that did not improve the statistical prediction of ESRD beyond the characteristics shown in Table 4.
dNonparametric statistical prediction of total richness of different OTUs and OPFs based on distribution of abundant (10) and rare (10) OTUs.
This method consists of the statistical prediction of high-frequency material damping, the numerical calculation of modal damping, and the conceptual modification of Rayleigh damping.
The Multivariate Ensemble Streamflow Prediction (MESP) is employed to sample from historical records for obtaining statistical prediction of multiple variables, which is then used as inputs to achieve multivariate prediction.
