Sentences with phrase «of false positives among»

Binary stars provide the primary source of false positives among Kepler planet candidates, implying that false positives should be nearly randomly - distributed among Kepler targets.

The data on the numerous candidates are somewhat preliminary and require validation, but a new analysis by a pair of astrophysicists at the California Institute of Technology suggests that the percentage of false positives among Kepler's candidate planets may be less than 10 percent.

But an alternative is to make statistical calculations for the probability of false positives among these thousands of exoplanet candidates.

Not exact matches

Small study size, design flaws, publication bias (failure to publish negative results or duplication of positive results), drug - industry influence, and the play of chance were among the problems Ioannidis found that caused false or exaggerated claims.

Among the undiluted binaries, we note that Brown only mentions grazing binaries as a principal source of false positives; however, as can be seen in Table 2, eclipses among stellar components with large area or surface - brightness ratio (SB1 in Table 2) are the cause of a significant fraction of false positAmong the undiluted binaries, we note that Brown only mentions grazing binaries as a principal source of false positives; however, as can be seen in Table 2, eclipses among stellar components with large area or surface - brightness ratio (SB1 in Table 2) are the cause of a significant fraction of false positamong stellar components with large area or surface - brightness ratio (SB1 in Table 2) are the cause of a significant fraction of false positives.

We use the low overall false positive rate among Kepler multis, together with analysis of Kepler spacecraft and ground - based data, to validate the closely - packed Kepler - 33 planetary system, which orbits a star that has evolved somewhat off of the main sequence.

However, given the large number of individuals that contributed to each RNA pool, it is unlikely that the genes for which we do detect differential expression represent false positives arising from high among - individual variance.

[10] They find that given the correlations we typically see among different measures of teacher performance, there is likely to be a significant number of false positives and negatives: teachers falling into one performance category according to one measure and into a different category according to another measure.

In spite of this, there can be false positives and negatives, so more information and standardization among laboratories is needed before this test will be used routinely.