Sentence examples for probability to fail from inspiring English sources

However, with the bandwidth and channel state constraints, the transmission still has a high probability to fail within its deadline.

The routing cost is the largest in case of the mid-density networks: here, the greedy routing has a significant probability to fail and the azimuth state is required very frequently.

The ultimate goal would be a safety device with a probability to fail below 10−40, which equals approximately the number of cells that ever lived on earth (and never produced a non-DNA non-RNA life form c). Of course, 10−40 sounds utterly dystopic (and we could never test it in a life time), maybe 10−20 is more than enough.

In a competitive risk framework, two key quantities are of interest: the cause-specific hazard function λ l (t), which can be interpreted approximately as the instantaneous risk per time unit of failure at time t from cause l conditional on survival until just before t; and the cumulative incidence function I l (t), which is the probability to fail from cause l before t.

where λ is the 'decay constant', and corresponds to the probability for each node to fail per time unit.

I make the simplifying assumption that the probability for an instrument to fail does not depend on it being switched "on" or "off".

Even though Kalman filtering provides the optimal solution under certain assumptions, it tends to fail when the estimated probability density presents a multimodal distribution or the dimension of the state vector is high.

We set the copy command to fail with a uniform probability of 0.75%, which means that for a typical replication,.75 (out of the 100) instructions would be copied incorrectly.

Colon-Berlingeri and Burrowes (2011) and Metz (2008) demonstrated that biology undergraduates have difficulty summarizing trends from data with probability distributions and fail to use distributions to provide information about variation and representativeness of an experimental sample (difficulty IVB).

Nevertheless, several of the leading 'interpretations of probability' fail to satisfy all of Kolmogorov's axioms, yet they have not lost their title for that.

Yet, under volatility uncertainty, a dominating probability measure would fail to exist and hence standard BSDE techniques will not be applicable anymore.