Sentence examples for using a likelihood measure from inspiring English sources

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By using a likelihood measure as indicator for the appropriateness of different distribution functions, distribution functions with low weights are eliminated.

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The goodness-of-fit was measured using a likelihood ratio chi-square statistic (chi-square = 3.12, p-value = 0.79).

Each response measure was tested using a likelihood ratio test to determine if log-transformation would significantly improve the normal approximation of the measure.

Model likelihood scores were compared using a likelihood ratio test.

Cosine distance scoring Fig. 1 Verification process in pauses MFCC biometric speaker verification evaluation system mathrm{C}mathrm{D}mathrm{S}left w1,w2right)=frac{w1*w2}{leftVert w1rightVert leftVert w2rightVert }, (4 where w1 and w2 are i-vectors, was used to obtain a likelihood measure between verified and tested i-vector.

Longitudinal mean changes and categorical changes (estimated probabilities) were assessed using a likelihood-based mixed-effects model repeated measures (MMRM) approach.

Weekly means of change from baseline in the average pain severity ratings from patient diaries were analyzed using a likelihood-based, mixed-effects model repeated measures (MMRM) approach that used all available observations.

The treatment difference was estimated using a likelihood-based mixed model for repeated measures (MMRM) analysis with baseline HbA1c as a covariate; treatment, country, week of visit and the treatment-by-week interaction as fixed effects; and patient and error as random effects.

We see clear evidence of strong bigram correlations and extract significant pairs and triplets using a log-likelihood measure of association.

The primary efficacy analysis will assess average treatment group differences for the primary outcome measure (MADRS) over the entire study period and use a likelihood based mixed-effects model, repeated measures (MMRM) approach at each time point.

We are now able to define probability of mode M s ;s∈Ω, according to all the modes defined within Ω T, as described in Equation 8. Thereafter, we use this likelihood measure to make a decision about whether a particular pixel is representing terrain or not.

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