Sentence examples for model simultaneously estimates from inspiring English sources

As well as calculating an outbreak probability for each potential disease cluster, the model simultaneously estimates the underlying spatial and temporal distribution of sporadic cases.

This model simultaneously estimates relationships between the probability of a plant being found in a location, and climatic variables.

The model simultaneously estimates confidence bounds for the state variable, representing the level of uncertainty about the probability of a correct choice.

This model simultaneously estimates detection probabilities (p) at each line of receivers in the Fraser River and adjusts survival estimates accordingly.

The model simultaneously estimates as many equations as the number of categories in the dependent variable minus one.

The full covariance model simultaneously estimates a matrix of covariance parameters (φ; Fig.  2a, d blue lines) for all pairwise relationships among independent genes.

Thus, the probability model simultaneously estimating all unknowns is introduced into the proposed method.

Subsequent models tested covariate-adjusted multivariate associations among measures of disease burden (both pain interference and morning stiffness) and HRQOL, and among measures of treatment burden (both serious medication side effect and methotrexate intolerance) and HRQOL; the final model simultaneously estimated the effects of all four PROs on HRQOL.

Age-period-cohort models simultaneously estimate the increasing risk of mortality with age, cohort effects (factors affecting a group of people born around the same time) and period effects (which apply to all people at a certain point in time).

Our PGLS models simultaneously estimate regression coefficients and optimize the error structure of the residuals using the λ transformation [ 52, 56, 94], the recommended procedure for analyzing comparative data that may have phylogenetic signal.

For example, it is easy to combine the Measurement Error and Phylogenetic Signal models to form a measurement error model which simultaneously estimates phylogenetic signal.