Sentence examples for estimate interpretation from inspiring English sources

We also empirically describe the rate decay pattern, examine whether or not the TDRP can explain the discrepancy between FV short-term and long-term rates, and discuss the applications and limitations of our empirical rate decay models, as well as how the TDRP may bias evolutionary inference and rate estimate interpretation.

Given the potential impacts of the TDRP on evolutionary inference and rate estimate interpretation, the fact that it is so widespread in nature but has been noticed only recently could mean that the credibility of evolutionary timescale estimates of many viruses may need to be reconsidered.

In those industries (tar distillation, chimney sweeping, power) with no studies reporting investigators' own exposure estimates, interpretation should be particularly cautious.

We produced satellite-derived PM2.5 surface area estimates for interpretation of the dust- and sea salt free PM2.5 estimates following a similar approach as PM2.5 mass concentrations, except that the GEOS Chem model was used to relate AOD to surface area, rather than to mass (see Supplemental Material, "Description of satellite-derived PM2.5 surface area").

Despite the robustness of our estimates, their interpretation requires caution.

Other aquifer and source parameters must be estimated by interpretation of well breakthrough data via the advection-dispersion equation.

The pressure decay response is continuously recorded with time, and then, sample permeability is estimated by interpretation of pressure decay curve.

If the description of the results is straightforward and follows the reading of the econometric estimates, their interpretation appears to be more challenging.

A similar analysis could be attempted by specifying all variables as random within a mixed-effects model with the caveat that the variance components are then the super population estimates and interpretation becomes more complex as explained above [27].

should be included in the model can alter the estimates and interpretation of the other parameters.

For the purposes of many epidemiological studies, what matters most are the effects of random and systematic errors on estimates and interpretation of disease-exposure associations.