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Here we briefly discuss these two measurement types.
This paper presents the correlation between the two measurement types.
The title of the table aims to reflect these two measurement types.
To be able to detect fluorescent light conditions and to adapt the dual exposure processing, we propose two measurement types, which are performed each field/frame.
Time spent in outdoor activity intensities were converted to percentage of time, and averaged across the two measurement types: accelerometry and observational.
Graphs comparing the automatic vs. manual measurements of D0 and D2 for the 20 random images are shown in Figure 5. Results of the statistical analysis indicate that the two measurement types were highly correlated for each variable with Pearson correlation coefficients of R = 0.867 for D0, R = 0.994 for D1 (data not shown), and R = 0.998 for D2.
Participants were therefore considered as failing a guideline if they did so according to at least one of the two measurement types.
Enzyme activity differs from the other two measurement types in that its parameters can have many plausible null hypotheses: the k catj can be equal to zero or to each other within groups defined in various ways.
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In contrast, the event amplitude values, measured optically as compared to electrically, yield a more complicated trend: while generally there is a clear linear correlation between electric and optical event amplitudes, we observe a wider spread of values between the two measurements types.
Measurement errors' geometric standard deviations were assumed to be specific of each of the three measurement types (different procedure were used for their obtention).
Some have specific jacks to connect probes for particular measurements, while others use two jacks for all measurement types.
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