We decided to set the benchmarks for the selector statistic Q1 based on the medians of the distribution of Q1 for the family of skew-normal distributions with α=−10,−6,−2,2,6,and 10.
To evaluate the relative performance of two fingerprints according a single repetition of the benchmark, the following comparison statistic was used: the net difference between the number of series for which the correlation value for fingerprint A was larger than fingerprint B minus the number of series where it was smaller.
Spatio-temporal surveillance methods for detecting outbreaks of disease are fairly common in the literature, with the SCAN statistic setting the benchmark.
To get a preferable threshold, we execute the image resizing and conduct a statistic analysis with the Benchmark, RetargetMe[31], involving 80 images.
The published results cited above indicate that for the benchmark simulated data considered, the scan statistic is quite robust to some multiple cluster arrangements.
Re-test reliability and agreement between dichotomous scores obtained by the examiners and the participants was then determined using percentage agreement in addition to the standard (unweighted) kappa statistic, with the same benchmarks for interpretation [ 33].
This is done by the statistic module which collects time benchmarks in different places of procession and updates the statistic database which is maintained in a text file in every local pGrid node.
On each test set randomly generated, a performance statistic based on AUC test statistics described by DeLong et al. [ 20, 21] was computed for the paired comparison between the new score and the benchmark score.
That statistic, not the census, is the appropriate benchmark for analyzing police enforcement activity.
However, given the lack of reproducibility studies on thermal scanning where this statistic was used, we do not have a benchmark range of values, against which we can compare our results.
