Sentence examples for in continuous distributions from inspiring English sources

Their method is for bi-allelic loci only, and entropy does not always behave well in continuous distributions (Bernardo and Smith, 1994; Sorensen & Gianola 2002), whereas relative entropy measures such as the KL distance are well defined.

Let H x), H y), and H x,y) be the entropies (non-negative, by construction, although pathological examples may arise in continuous distributions) of the marginal distributions of x, y, and x,y respectively, with and The discrepancy away from the association model is (29) Note that Where H y| x) is the entropy of the conditional distribution of y given x.

It was in continuous distribution in theatres in India until the mid-1990s.

It was in continuous distribution, being played in theatres, for more than three decades; the record ended in the mid-1990s withethe advent of satellite television and a change in Indian film-viewing habits.

Based on the substitution incidences observed in our sequences, the Tamura and Nei (1993) model seems biologically most plausible as it uses Gamma distribution that results in continuous distribution in which every site may have a different rate change as opposed to fraction site changes at one rate or invariably especially for rapidly evolving groups of organisms such as microbes [ 16, 19].

It is also able to fit in with continuous distributions; the flexibility of this type of distribution is compatible with data histograms and the estimation of the kind of their distribution.

These variables, based on different scoring methods for the GHQ, resulted in three continuous distributions with mild, moderate and severe positive skewness.

The spectra were analysed in terms of continuous distributions in order to obtain the distribution of the longest component, τ3.

In fact, with the introDueed notothen, the formulas are identicontinuousnatureKalman filter equatiofs.

This deviation was traditionally explained by the existence of various kinds of jumps or in terms of continuous distributions of activation energies due to different kinds of disorder.

We also address preservation of this 'inconsistency' property for the symmetric Binomial distribution in Section 4, a class of symmetric discrete distributions constructed from symmetric continuous distributions in Section 5, and the multivariate discrete skew-normal distribution in Section 6. Proofs of all the theorems are provided in the Appendix.