Missing and implausible values were excluded from the analysis.
However, as Hornstein et al. (2011) point out, unless some parameters assume implausible values, calibrated standard search models explain only a very small portion of observed wage dispersion.
Direct measurement of biochemical parameters in vivo is often difficult and sometimes impracticable, while fitting them under data-poor conditions may result in biologically implausible values.
Two stations were excluded due to missing or implausible values.
The data was checked for correctness and implausible values.
Clinically implausible values were identified and flagged for removal (e.g. weight <50 lbs.
Implausible values were mostly (7 41%) due to r1 < 0 (case 2; Fig. 4).
The variables were checked for implausible values, but none were found.
Biologically implausible values for z-scores, as flagged by the macros, were excluded from the analysis.
Outlying and clinically implausible values were reconciled against the original clinical record.
The cutoff point for biologically implausible values was 5 z-scores [ 4].
