Sentence examples for hypothesis of data from inspiring English sources

For the 7 descriptors in this study, each set of ligand-compound discrete data allowed us to estimate complex relationships, the descriptors, and the binding strength, without hypothesis of data distribution that may bias the Bayesian network inference model.

Finally, in exploratory studies such as this, in which data are collected with an objective but not with a prespecified hypothesis, multiplicity of data, hypotheses, and analyses can result in errors of inference, requiring the use of multiplicity corrections.

However, Graham et al. [ 64] tested this hypothesis on data of the highly pathogenic avian influenza (HPAI) outbreaks in Thailand in 2004 and found no supporting evidence.

Permutation test is a resampling-based nonparametric test which permutes data following the null hypothesis of equal data distributions between groups [ 112].

Chi-square and Mann Whitney tests were used as appropriate for hypothesis testing of data.

Another interesting point regarding matching of publications resides in the fact that a larger amount of matches of journal papers were made by title instead of by similarity, which corroborates with our hypothesis of better data quality in this segment.

A Bray-Curtis dissimilarity matrix was produced and a MDS plot was generated for graphic representation [30], but SIMPROF [10] was used to test the null hypothesis of no data structure among Saba Bank and the three Caribbean locations.

These results suggested that the missingness mechanism was not compatible with the hypothesis of MCAR data.

Clustering on the dimension-reduced morphospaces found strong evidence to reject the null hypothesis of homogeneous data in the upper Eocene sample, but not in the middle Eocene (Table 3).

The distinction between ML and Bayesian inference is that Bayesian provides probabilities for hypotheses, not probabilities of data given a hypothesis [ 85, 87, 88].

In this paper, we introduce hypothesis testing (HT) to validate the conditional independence hypothesis between sets of data, these data being modelled as continuous random variables.