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Exact(21)
For visualizing the measurement errors, we subtract the observed distance image from the virtual distance image.
Based on the variation of various measurement errors, we propose a new ISSB-corrected method with observations corrected by corresponding satellite-dependent parameters.
For non-negative measurement errors, we can relax circles to discs because a target definitely can be found inside the circles.
end{aligned} (28) We will now proceed to employ the quantum estimation techniques necessary to find the ultimate bounds on the measurement errors we have explicitly found above.
For positive measurement errors, we use an exponential distribution [47]: Figure 8 Simulation environment consists of 13 reference nodes at fixed positions.
f ∈ i j = 1 r e - 1 r ∈ i j, ∈ i j ≥ 0 0, ∈ i j < 0. For the mixed positive and negative measurement errors, we use a zero-mean Gaussian distribution, i.e., ε i j ~ N ( 0, σ 2 ).
Similar(38)
To establish repeatability of landmarks and evaluate intra-observer measurement error, we re-measured five SAG-treated and five Veh-treated mice at the end of data collection.
To minimize such artifacts and other sources of measurement error, we calculated composite measures for the cognitive domains and a global cognition composite score.
Because different measures may have different degrees of measurement error, we contrasted three metrics of long-term exposure: observed PM10 from monitors nearest participants' residences, imputed PM10 derived from a space time model, and imputed PM2.5 also derived from a space time model.
To examine the impact of measurement error we estimate the same regression only this time using self-reported BMI.
To examine the underlying conceptual structure and remove measurement error, we test this second-order measurement model using structural equation modeling (SEM).
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