Sentence examples for caused by random errors from inspiring English sources

The more precise the analysis is, the more reliable the results, reducing the information asymmetry caused by random errors.

In particular, it has been argued that the observed violations are not "true" violations since they may be simply caused by random errors.

It is particularly difficult to interpret that amplitude variations at V.ONTN were caused by random errors in its site amplification factor.

Since most nucleotide changes at specific position of miRNAs was detected up to hundreds or even thousands of times, and the relative abundance of certain modified miRNAs at different developmental stages was not proportional to that of the wild type miRNAs, it is unlikely that the nucleotide changes we observed were caused by random errors during sequencing.

However, since the experiments were repeated three times by two different persons, each including three replicates of the Au ENP suspension, it is unlikely that the differences observed were caused by random errors (due to, e.g., incorrect handling, measurement settings, or contaminations).

Consequently, we develop an experimental design which allows us to discriminate between true violations and violations caused by random error.

Then the probability of the observed SNPs in all arrays caused by random

The apparent difference in intervention effect found on the HDRS might be caused by random error ('play of chance'), unaccounted bias or a signal of a real effect.

Furthermore, the P value of this model was significant (P < 0.01) and the lack of fit was not significant (P = 0.9057 > 0.05), which indicated that the residual might be caused by random error and this model is adequate.

In a fixed-effect meta-analysis, the underlying assumption is that all of the included trials estimate the same intervention effect, i.e., differences in observed effects across trials are assumed to be caused by random error ('play of chance') [ 13].

In order to reveal statistically significant differences in UDP-sugar concentrations between the four biological replicates each of wild-type and mutant plants, we decided to apply single-factor analysis of variance (ANOVA) [ 19], which can be used to test whether the sample means differ enough from each other to be caused by random error or not.