Sentence examples for a chance distribution. from inspiring English sources

Exact(4)

But we then have randomness without a chance distribution over the outcomes.

Rather than observing a chance distribution of a participant's reference frame with respect to an array of objects, there is a strong bias to orient the upward z-axis with the viewer's bodily axis.

Compared to a chance distribution (50%), right-handers imagined a higher proportion of right- than left-handed actions (313 vs 32 [90.7%]; χ2 = 228.872, d.f.

The distribution of CHD deaths was significantly different than a chance distribution of 25% in each quartile of the day (p = 0.002).

Similar(55)

For each pair of atlases, the similarity indices for 1000 pairs of size-matched random parcellations were calculated, yielding an estimate of the chance distribution specific to each pair-wise comparison.

For the purposes of this discussion, we assume "ideal" processes for the study (i.e. large studies that minimize the risk of a chance unequal distribution of subjects with different prognoses, no information or selection or detection bias, complete follow-up and adherence, no measurement bias, etc).

For general fuzzy random returns, we suggest an approximation method of computing variance and chance distribution so that C V models can be turned into their approximating models.

For all further analyses we only used peaks with a value exceeding the 95th percentile of the classifier chance distribution (see section on bootstrapping below), such as to minimise the risk of including meaningless noise peaks.

The issues about the computation of variance and chance distribution are considered.

Second, to estimate our classification chance distribution for the random-effects (i.e., trial-averaged) peak analyses, we used the 151 classification outputs from all participants in a bootstrapping procedure60.

When the returns are characterized by trapezoidal fuzzy random variables, we employ the variance and chance distribution formulas to turn C V models into their equivalent stochastic programming problems.

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