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There are two fundamental differences between the estimate of predictive uncertainty derived from classical theory (Eq. 4) and the DPRESS model represented by Eqs.
MSE was computed by the average of the squares of the differences between the estimate and the true value fixed by simulation.
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The pronounced differences between the estimates obtained at different sites are noteworthy.
These problems are due to nonaccurate noise estimation in each frame and differences between the estimated clean and original signal.
Our results showed substantial differences between the estimated generation time distributions for the different outbreaks.
The differences between the estimated and advertised values thus reflect the consistency level.
In the second model, we evaluated differences between the estimates using the minimum amount of overlap between consecutive surveys.
The second term, the "coefficient effects", capture the difference in participation rates arising from differences between the estimated coefficients.
The standard deviation of the differences between the estimated and observed values for all the points is computed.
In many instances, the ratios are 0.99, 1.00, or 1.01, indicating very little differences between the estimates.
However, there are no real differences between the estimates that control for the test score conditional on occupation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com