Sentence examples for point of likelihood from inspiring English sources

The likelihood ratio scattergram showing summary point of likelihood ratios obtained as functions of mean SEN and specificity in the right upper quadrant suggested that the CTCs detection was useful for the confirmation of presence of gastric cancer (when positive) but not for its exclusion (when negative) [ 23].

A clear gradient in point estimates of likelihood ratios was observed for all pallor sites, for detection of severe anaemia The Bayesian approach to diagnostic studies (pretest odds × LR  =  post-test odds) suggests that at haemoglobin cutoff point 9 g/dL, severe tongue pallor produced a probability of 44% (14, 79) while absence of tongue pallor virtually ruled out anaemia (LR, 0).

Owing to this sensitivity and the use of a local search strategy, the EM algorithm cannot be guaranteed to converge to the global maximum of the likelihood function, instead converging to an insignificant local maximum or saddle point of the likelihood function.

With f^{primeprime}(hatmu)=p p-1)sumlimits_{i=p p-1}|x_{i}-hatmu|^{p-2}>0 text{ if } p>1, it followsumlimitsgeneral setting that the uniquely determined solution (hat mu ) of the equation (4) is a relative maximum point of the likelihood function L, thus (hat mu =text {mle}(mu)).

The point of highest likelihood of this mixed model estimates the switch from speciation to coalescent branching and can be interpreted as the species boundary.

1. List all genes within 10 Mb of the point of maximum likelihood of the QTL map location.

The GMYC detects the predicted difference in branching rate under two modes of lineage evolution (within and among species), evaluating the point of highest likelihood of the transition [ 8].

The GMYC exploits the predicted difference in branching rate under the two modes of lineage evolution, assessing the point of highest likelihood of the transition (Pons et al. 2006).

In contrast, deterministic EM is guaranteed not to decrease the likelihood and so may become trapped in local maxima or saddle points of the likelihood function.

A clustering method is used to solve the global optimization problem which arises to find the points of maximum likelihood.

Lower bounds for breakdown points of trimmed likelihood (TL) estimators in a general setup are expressed by the fullness parameter of Vandev (Statist. Probab. Lett. 16 (1993) 117) and results of Vandev and Neykov (Statistics 32 (1998) 111) are extended.