Sentence examples for knowing the error from inspiring English sources
Moreover, we investigate whether knowing the error rates influences behavior in the experiments.
On the contrary, knowing the error rates seems to have a negative effect on the heuristics used for solving the tasks.
The observation that performance in EXP-1S* is better than performance in EXP-1S suggests that the participants could not take advantage of knowing the error rates.
Knowing the error rates is essential for determining the most informative test.
The study also gives the attenuation which a numerical model should provide in the reference situation in order to guarantee a minimum attenuation when knowing the errors in the spatial distribution of the primary field.
For example, in the existent PSM techniques, matching is done primarily based on the distance between point estimates of propensity scores, and thus, it is difficult to establish a meaningful criterion to evaluate the closeness of the matched units without knowing the estimation errors (or standard errors) of the estimated propensity scores.
The goal of knowing the diagnostic error rate in practice may, therefore, require further research to standardise definitions and other methodologic issues, and combining results from several different approaches.
Simply put, without knowing the standard errors of l(X i ) and l(X j ), we do not know if l(X j ) in the comparison group is the best matched score with l(X i ) in the treatment group.
The problem with this approach is that it is difficult to establish a meaningful criterion to evaluate the closeness of the matched units without knowing the standard errors of the estimated unit-specific propensity scores.
Unfortunately, however, we have no way of knowing what the error rates in the literature or in biological databases actually are, or indeed what are the rates of propagation of those errors between databases and papers, and vice versa.
Simulation is one of the most appropriate approaches to analyze the uncertainty propagation of a GIS model, without knowing the functional form of the errors (Eastman, 2003; Tenerelli and Carver, 2012).
