Sentence examples for probability of the process from inspiring English sources

The conditional distribution of X(t + h) given X t) is called the transition probability of the process.

The results demonstrate that generally, the higher the number of reaction steps, the higher the probability of the process being more hazardous.

It is shown that the resulting cost reduction can range from modest to substantial as the out-of-control probability of the process increases.

These results may serve as an important planning tool for land managers, by helping identify areas and farming systems with high probability of land abandonment, and furthermore explore the outcomes of some potential scenarios on the future probability of the process.

The preempting cause and disconnecting cause do raise the probability of the process that produces the effect; the fizzled non-cause and misconnecting non-cause do not.

And it might also be the case that Bob's aiming raised the probability of the process producing the soaking — Bob's aiming might have raised the chance of the spillage process, by threatening the aquarium.

Therefore, states probabilities of the process X t) at any time instant ( t ge 0 ) will be defined as a solution of the following system of differential equations left{ {begin{array}{*{20}l} {frac{{{text{d}}p_{1} (t)}}{{{text{d}}t}} = - mu p_{1} (t) + lambda p_{2} (t)} {frac{{{text{d}}p_{2} (t)}}{{{text{d}}t}} = mu p_{1} (t) - lambda p_{2} (t)} end{array} } right.

Thus, on the average, the effect of the exchangeability parameters of the matrix are damped after only 4 to 5 substitutions, after which the probability of the final state is essentially dictated by the stationary probabilities of the process.

The assumed high cellular concentration of profilin reduces the probability of this process [52], making it irrelevant for the analysis of the system's steady state.

Starting from the probability distributions of the process parameters, SSTA allows to accurately estimating the probability distribution of the circuit performance in a single timing analysis run.

We are interested in how the level crossings of one Gaussian process can be used to predict the level-crossing probability of the partner process in a specific time interval relative to the observed level crossing in one process.