Sentence examples for probability in mind from inspiring English sources

However, Boltzmann started out with a somewhat different interpretation of probability in mind than Maxwell.

A specific warning about the likelihood of an attack increased its perceived probability in the minds of the drivers [45].

Known bounds for tail probabilities are designed having in mind linear statistics, possibly also for dependent observations.

The interpretation of the data reported in this study should be done with the following methodological limitations in mind: First, probability sampling was not used to obtain study clusters.

Yoldas et al. in their study of 748 patients with MNG, find a high recurrence rate of 29% among their patients who underwent HT; and therefore recommend that HT should be discontinued and TT should be preferred, while keeping in mind the probability of a higher risk of hypoparathyroidism [ 47].

Consequently, the estimated probabilities yield an upper level probability that is important to bear in mind when interpreting results and considering policies in addressing the problem of doctor scarcity in rural areas.

Here is an excerpt: With this in mind, our probabilities for Grexit remain unchanged in the range between 50% and 75% over the next 12 to 18 months.

Let us also define W=Z ss +Z rs whose PDF f W (w) and CDF F W (w) are introduced in Appendix 2. Bearing this in mind, the outage probability of the link between relay and destination can be written as begin{array}{*{20}l} mathcal{O}^{text{JD}}_{rs} &= Prleft[ mathcal{I}_{rs}^{text{JD}} < mathcal{R} right] end{array} (12).

Critiques of web-based data should also keep in mind that even probability-based samples face problems of self-selection, non-response or coverage.

Keeping this in mind, we can broadly divide the probability of stochasticity into three different classes, namely: low probability of error (ϵ ≈ 0), medium probability of error (ϵ ≈ 0.5) and high probability of error (ϵ ≈ 1). Figure 2 gives an example of few biological functions divided into these different classes of stochasticity.

Instead, we should keep in mind that association, classification and probability estimation are different aims with their own values.