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There was a sharp decline in precision below pulse densities of 0.04 pulses m−2 for all three models.
A rapid decline in precision was noted below pulse densities of 0.04 pulses m−2 for all three stand metrics.
There is a gradual decline in precision for smaller attenuation values for both the experimental and the simulation results (see Figure 8), this may be due to controller sub-optimally starting to make the system go unstable.
Below this threshold, there was a gradual decline in precision to pulse densities of 0.7 – 1 pulses m−2 at which point the R2 was 95% of the maximum values.
Below this there was a gradual decline in precision to pulse densities of ca. 1.0 for Hm and V and 0.7 pulses m−2 for D, at which point the R2 was 95% of maximum values (Figure 3; Table 4).
Unlike for the CPS, in this case, there is not a substantial decline in precision from including the very large number of "spatial" controls in DLR's specification (Panel B). Figure 5 Leads ("pre-trends") and lags for alternative estimators, QCEW data, 1990-2010.
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Further culling of the data resulted in a sharp decline in model precision for all three regressions.
Further culling of the data resulted in a sharp decline in model precision for all metrics (Figure 3). Figure 3 Relationship between LiDAR pulse density and coefficient of determination (left side) and root mean square error (right side) for (a, d) mean top height, (b, e) volume and (c, f) mean diameter.
However, this might lead to a decline in retrieval precision.
Premature gaze transfer was associated with decline in stepping accuracy and precision.
It is also possible that older people, in stress situation would adopt a gaze strategy detrimental to their balance control, more specifically, a premature gaze transfer which in turn has been associated with decline in stepping accuracy and precision [ 34].
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