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The constant temperature anemometry technique is known to have a relevant sensibility to both fluid temperature variations during the measurements and temperature differences between calibration and testing conditions.
In addition, we recommend maintaining the same temperature between calibration and testing [ 21].
Additional analysis, preferably with larger datasets, would be necessary to determine the response of the performance to deviations between calibration and testing samples.
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The correlation coefficients between the experimental and predicted soil compression index values are equal to 0.935 and 0.901 for the calibration and testing data sets, respectively.
We graphically assessed the calibration of the CURB-65 model with a calibration plot and tested it with the Hosmer-Lemeshow test.
Calibration of the models was graphically assessed with calibration plots 26 and tested with the Hosmer-Lemeshow statistic.
A statistical method for the calibration was developed and tested.
Two calibration targets with different calibration patterns are built and tested, including a thorough analysis of the emissivity and the consequences for the required calibration procedure.
Another reason might be that there are actual differences between the calibration (Melbourne) and test (Brisbane) populations, or that measurement and/or treatment protocols vary at the two locations.
Calibration was assessed graphically and tested using the Hosmer-Lemeshow test for perfect calibration in ten equal sized groups by predicted probability of survival [ 14].
The aim is to make a correlation and calibration between test and analysis of the full scale wooden structure; both eigenmodes and acceleration levels are compared.
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