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The mixed model applied was: trait ~ mean + fixed effects + SNPi + animal + error, with animal and their 5-generation-ancestors and error fitted as random effects and dataset, breed, cohort and sex as fixed effects for all traits.
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The mean error fitting upper limit was set to 0.25 mm, and the upper limit for the condition number 150.
The polynomial coefficients were calculated from several least square error fits to some portions of signals extracted from the recordings.
Least square error fitting techniques employing a classic monomial and a Forsythe orthogonal polynomial basis are compared by starting from numerically estimated measurements with noise.
However, the mean error fitting defined as 100 %·E (left[left|{S_{1}} (tau)- {S_{1}^ tau right|/{S_{1}} (tau) right]) is 2.8 % for over the time lag τ within the range [0, 250] for all cases under analysis.
Yet both voting groups' errors fit into a few recognizable patterns.
However, trial-and-error fits did reveal the best spectra for LCLS fits described for Group2.
The relative value of the error (Fit Error) and the relative value of the prediction error (Pred. Err).
SE = Standard error, Fit Resid = Fit Residual, Chi-Sq = Chi-Square, Prob = probability Fit Residual df = 82.6, Chi-square df = 1 No differential item functioning was found for sex or age group (under 53 years/53 yeand and over).
The amount of initial plastic (permanent) deformation of the polyethylene liner may differ due to design, manufacturing error, fit of the liner within the shell, elasticity of the metal shell, and surface of the inner shell.
Fit Residual df = 69, Chi-square df = 1 SE = Standard error, Fit Resid = Fit Residual, Chi-Sq = Chi-Square, Prob = probability The targeting map for the MSIS-29-PSYCH showed the items and thresholds spanned the range of person scores except for those at the lower impact end (see Figure 2).
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