Sentence examples for sojourn distribution from inspiring English sources

In this package, several types of sojourn distribution are implemented.

The hidden semi-Markov model, with the sojourn distribution explicitly specified using a common distribution, can be defined by θ = (π, A, B, D).

As a generalization of the hidden Markov model, HSMM allows the sojourn distribution to be specified other than the Geometric distribution implicitly used in common HMM.

By incorporating genomic positions into the sojourn distribution of HSMM, with optional prior learning using annotation or previous studies, model output is more biologically sensible.

By incorporating genomic positions into the sojourn distribution of HSMM, with optional prior learning using annotation or previous studies, the modeling output is more biologically sensible.

The discrete state occupancy distribution or the sojourn distribution, D, is defined as the probability of spending u consecutive time steps in state j, which is geometrically distributed for a normal HMM, d j (u) = a jj u −1(1 − a jj ).

Though the true underlying sojourn distributions involving various genomic features remains unknown, our implementation gives more flexible options in the modeling and, thus, might provide more insight.

Another notable observation is that the variation in sojourn time distribution parameters can lead to a different SF curves, though they all follow the Weibull distribution and have the same mean value.

Using Laplace transform of the sojourn time distribution of M/D/1 queue, we have the following proposition.

Open image in new window Fig. 6 SF under different Weibull sojourn time distribution.

We include the coefficient of variation of the sojourn time distribution in Table 4 to gain more insight.