Sentence examples for maximum scanning window from inspiring English sources

Analysis was done using 999 Monte Carlo experiments and a maximum scanning window of 50%% of the population.

The maximum scanning window size was set to include up to 50%% of the population at risk and up to 50%% of study period [ 28, 30].

Trend was accounted for in the models and the maximum scanning window was set at 50% (see [ 20] for more information).

Summary of statistically significant (p < 0.05) spatial clusters* of high lung condemnations for Ontario Provincial abattoirs (2001-2007).*SaTScancan settings specified as: maximum scanning window of 50% of market hogs (pigs) slaughtered.

Summary of statistically significant (p < 0.05) spatial clusters* of high kidney condemnations for Ontario Provincial abattoirs (2001-2007).*SaTScancan settings specified as: maximum scanning window of 50% of market hogs (pigs) slaughtered.

Maximum scanning windows were limited to 50% of the population of hogs slaughtered, or population at risk (PAR) for the spatial scans, 50% of the study period for temporal scan tests, and both 50% of the condemnations and study period for the space-time scan tests.

Summary of statistically significant (p < 0.05) space-time clusters* of high partial carcass condemnation rates in Ontario Provincial abattoirs for kidneys (2001-2007).** * SaTScan settings: maximum spatial scanning window specified as 50% of cases; maximum temporal scanning window specified as 50% of the study period.

Summary of statistically significant (p < 0.05) space-time clusters* of high partial carcass condemnation rates in Ontario Provincial abattoirs for lungs (2001-2007).** * SaTScan settings: maximum spatial scanning window specified as 50% of cases; maximum temporal scanning window specified as 50% of the study period.

SaTScan™ is used for conducting spatial, temporal and space-time analyses and is based on identifying maximum likelihood clusters for a scanning window that moves across space and/or time [ 15].

The most likely cluster(s) are identified from comparing the number of events contained within the scanning window against the maximum value of the likelihood ratio test statistic.

This paper uses the rotational LBP with all possible resolutions in the examined scanning window to capture the maximum possible structure of the window that can be obtained using the rotational LBP operator.