We identified markers with disproportionate effects by inspection of effect sizes (Table S1, [see Additional file 1]) and by dropping markers from the analysis and observing the behavior of Long's test on the reduced data set.
In this study, the Comprehensive Heterodyne Effect Based Inspection (CHEBI) method is proposed to address this issue.
Experiments conducted to analyze the effect of inspection error on risk exposure control reveal the computational complexity of the problem.
It includes the effect of inspection and monitoring results, by computing the updated reliability of the system and its components based on information from the entire system.
The effect of inspection in the updated reliabilities is illustrated using first and second-order reliability methods as well as Monte Carlo simulation.
The effect of inspection frequency, standoff distance and signal power are also investigated leading to the development of an engineering circuit design tool that relates the set up and calibration of the sensor to its detection performance.
A number of studies have examined the effect of inspection frequency on restaurant sanitation (9, 13 – 13 ).
There was also some evidence for an effect of inspection sequence (βfirst − βsecond = −0.601, p = 0.087; βfirst − βthird = −1.18, p = 0.073).
The overall p-value for the variable was considered as an indicator of whether there was a period effect; visual inspection of the odds ratios was interpreted for time-trend.
The possible effect of inspections was hard to gauge.
