Sentence examples for probabilities fit from inspiring English sources

So we are able to give an adequate characterisation of the physical situation without appeal to any probabilities fit to play the chance role.

Model calibration was assessed with the Hosmer-Lemeshow goodness-of-fit χ statistic, a measure of discrepancy describing how well the predicted probabilities fit observed outcomes.

The accuracy of BOADICEA (i.e., whether the predicted probabilities fit the observed breast cancer status at the individual level) was evaluated using a logistic regression analysis in which the observed breast cancer status was the dependent variable and the log-odds of BOADICEA's predicted probability of developing breast cancer during the follow-up period was the independent variable.

Long-term survival probabilities fitted by proportional hazards statistical methods (Poisson regression over 15 years) were provided (Table 3 of (Albertsen et al, 1998)), stratified by age at diagnosis (within 5 years) and biopsy Gleason score (2 4, 5, 6, 7, 8 10).

SE = Standard error, Fit Resid = Fit Residual, Chi-Sq = Chi-Square, Prob = probability Fit Residual df = 82.6, Chi-square df = 1 No differential item functioning was found for sex or age group (under 53 years/53 yeand and over).

Downplaying risks that have a low probability fits neatly into the overall safety culture that prevails throughout the nuclear industry and those who regulate it.

Absolute differences in coverage were also provided, comparing the probability fitted from multivariate regression models based on the observed data ("fitted probability") to the "predicted probability" extrapolated from the baseline trend (e.g., absolute differenceFeb2000 = [fitted probability]Feb2000 - [predicted probability]Feb2000).

If the model with an effect of change probability fits better than the model without, we conclude that a change probability effect is necessary to explain the data and, thus, that change probability has an effect on guessing biases.

A second way of framing the question is whether a model that does not include an effect of change probability fits the data as well as one that does include an effect of change probability.

In our case, we have strong evidence that drop probabilities better fit a β distribution [18].

However, as others have demonstrated, it is possible to reverse-engineer several transmission probabilities that fit the data (6 ).