Sentence examples for mean log score from inspiring English sources

In this section, we detail the calculation of a " correction term" needed to back-transform the mean log score for the arcsinh NMM to the mean log score within the original count scale.

If k→ ∞, LS ¯ of the "wrong" Poisson model approximates the mean log score of the true NB model.

Applying mean log score and DIC to rank all eight models considered so far suggests that random intercept models are inferior to random intercept and slope models.

An AUC near 1 indicates that mean log score perfectly discriminates between the true NB model and a competing (wrong) model adopted for a particular scenario.

After backcalculation the mean log score for the arcsinh NMM can be compared with the mean log scores of other model alternatives assessing their forecasting capability.

For each combination of k (degree of overdispersion) and n (sample size) the discriminatory power of the mean log score was investigated.

A permutation test was applied to decide whether the difference in mean log scores was significant on a 5% level.

For all three sample size situations (i.e. 40, 100, 200 units in total), Figure 5 reveals the difference in mean log scores for the true negative binomial GLMM compared with the following model alternatives: Poisson (neglecting over-dispersion), zero-inflation (assuming an excess of zeros) and a Gaussian response model after arcsinh-transformation of the counts y ij.

The search also identified a significant number of high scoring matches (mean log-odds score of 11.61) for homeodomain-containing proteins of the para-Hox cluster [ 25], but the score for other non-Fox, non-para-Hox transcriptional proteins was low (7.72).

Persons who perceive their weight as above normal have higher mean log BMI scores (× = 3.43) than those persons who perceive their weight as less than normal/normal (× = 3.28).

The mean log BMI scores differ significantly (F = 20.82 p < 0.001) between those who perceive their weight as less than normal/normal and those who perceive their weight as above normal.