Sentence examples for likelihood for different from inspiring English sources

Table 1 presents the log likelihood for different models and the results from the likelihood ratio test.

(i) Comparison of model goodness-of-fit Table 1 presents the log likelihood for different models and the results from the likelihood ratio test.

To speed up the evaluation of the likelihood for different tree topologies a technique called "likelihood hashing" is employed.

The plot in Figure  9 (left) shows the distribution of the number of distinct states visited with a given likelihood, for different values of the likelihood.

Coalescent-based methods will allow us to define the likelihood for different mutation rates and tree topologies to have produced the observed dataset and consequently test the importance of an older mechanism (i.e. closure of marine gateway) versus more recent oceanographic processes in the origin of Palinurus species.

Furthermore, the likelihoods for different time delays are mapped into a set of weighted nonoverlapping hyperbolae in the spatial domain.

Because PPV and NPV are dependent on the prevalence of the disease, Table 4 shows the relative likelihood with the prevalence independent likelihood ratio for different cut-offs.

In the global-score case, from Figure 7b, the maximum likelihood plots for different classes behave more evenly: for all classes, the maximum likelihood peaks near ω = 0.15. Figure 7a shows that for LPXA, local-score simulations lead to better substitution matrices than global-score ones.

The speaker-dependent parameter,, is generally determined by conducting likelihood computations for different values within the range [0.84†1.16] (for our purpose we extend the range slightly to facilitate the binary search algorithm described in Section 5.1).

Table  3 demonstrates the sensitivity, specificity, PPV, NPV, and positive and negative likelihood ratios for different thresholds in diagnosing OCD.

In addition, we will calculate the values of sensitivity, specificity and likelihood ratios for different thresholds of the clinical prediction rule.