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Over-fitting is caused when the variance of the error term dominates the prediction error of the model.
The maximum error of the theoretical and the measured displacement decrease gradually, and the variance of the error also decreases gradually.
The paper proposes a design in which Kalman-like gains are synthetized to minimize the variance of the error on both subspaces.
It is shown that if D-optimality is measured by the expected value of the determinant of the information matrix of the experimental design, as has been suggested in the past, on average the designs appear to improve with the variance of the error in setting the factor levels.
The variance of the error is then estimated as: (frac {{d_{s}^{2}}}{12}).
To reduce the variance of the error we have to increase Δ f.
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The root mean squared error is computed as the square root of the variance of the errors plus the square of the mean.
We test errors for hetheroskedasticity in groups through the Wald test and find the variance of the errors being inconstant between groups [(2a): χ 2 -stat = 168.88 p-value 0.00; (2b): χ 2 -stat = 149.7 p-value 0.00].
The variance of the error-5 variable connected to y5 helps determine the meaning of the latent variable η3.
The variance of the errors associated with each of the models are: Σ1, Σ2, Σ3, Σ4 respectively.
Instead, the variance of the errors (ht) is allowed to change over time depending on the volatility of errors in the previous two years (lag two).
More suggestions(15)
the source of the error
the variance of the difference
the variance of the variance
the company of the error
the timing of the error
the discovery of the error
the significance of the error
the day of the error
the impact of the error
the response of the error
the behavior of the error
the change of the error
the variance of the line
the magnitude of the error
the variance of the distribution
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