Sentence examples for probability for which from inspiring English sources
Nucleotide sequence of the 12,652 bp pSVH1 revealed 11 open reading frames with high coding probability for which putative functions could be assigned.
Furthermore, we analyze the dynamic TP and the optimal TP to maximize the DL/UL joint probability, for which the inclusion of a member and the transmission of the member is determined by the DL and UL thresholds.
We want to find a condition so that if is true also is true, but there must exist a set of events with non zero probability for which if is verified is not.
The error decision probability, for which the authors derive an analytical expression, takes into account the effects of noisy communication links and packet collisions associated to the IEEE 802.15.4 MAC protocol.
Since the RDT is associated with the required detection probability for which a primary signal is defined as being sufficiently protected, both the values of RDT and the required detection probability should be given by the primary network.
This notion takes as basic a notion of monadic probability for which countable additivity is a crucial axiom (countable additivity requires that the sum of the probabilities P Xi) of a countable family of events Xi with union X equals P X)).
The stochastic response surface method (SRS M is a technique for the reliability analysis of complex systems with low failure probabilities, for which Monte Carlo simulation (MCS) is too computationally intensive and for which approximate methods are inaccurate.
The PDF of the resulting directions is computed as a vector of probabilities for which the size has been empirically set to 10.
It would be of interest to describe classes of finitely additive probabilities for which axiom (A3) holds or does not hold in terms of some structural properties of measures.
The correct value of K is determined by the estimated posterior probabilities, for which values closer to zero indicate a better fitted model.
In other words, we are looking for the probabilities for which ERg(Treat all) ≤ Rg h, and ERg(Treat none) ≤ Rg b.
