Sentence examples for probability to vary from inspiring English sources

Exact(3)

A variety of fish behaviors can cause capture probability to vary across individuals or over time, such as dominance hierarchies, escaping capture or persistent individual differences in capture probability due to activity or aggression; yet knowing exactly which behaviors may affect capture probability is generally unknown.

When we allowed the detection probability to vary among individuals in our simulations, population estimates were similar to those obtained assuming constant inter-individual detection probability.

We also took the opportunity to recall the important difference which may arise between the notions of accuracy and utility of a prediction model, as illustrated by Figure 3. Finally, we have illustrated how to use decision curve analysis in the context of case-control studies by allowing the prevalence, in addition to the threshold probability, to vary over a sensible range.

Similar(56)

While the mixture distribution for zero-inflated counts in equation (1) allows mixing probabilities to vary across individuals, conventional finite mixture models assume a constant probability, π j, corresponding to the j th subpopulation and impose heterogeneity through f j (y i |θ ij ).

We used the first-order jackknife method initially designed to estimate population size from capture to recapture data, allowing capture probabilities to vary by individuals [45].

The iMPACT3 software permitted probabilities to vary by 1%.

This method allows the transition probabilities to vary from one profile to the next.

To estimate these, a process of calibration was carried out, by allowing transition probabilities to vary within established ranges, so that modelled predictions of key end points for unvaccinated girls matched currently available epidemiological data in the presence of screening.

We expected capture probabilities to vary among individuals due to spatially and temporally variable search effort and possibly other factors, so we selected the TIRM when the P-value for the test was <0.10.

A variant model, known as time-inhomogeneous Markov chain, relaxes the stationary assumption and allows transition probabilities to vary across time, and can be denoted as π i, j k t.

Having estimated gradient functions at each site in the genome, we extend standard HMMs for admixture to incorporate variation at each position on the map by allowing the emission probabilities to vary according to these gradients (see Spatial modeling of allele frequency).

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