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The potential difficulty with the parametric procedure is that a simulation may fail to accurately characterize dispersive processes, and depending of the nature of the error, tests may be either conservative or anti-conservative.
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The error test of the Biotools DNA Polymerase (Cat Nº 10047) was performed amplifying, cloning and sequencing an already known clone.
By comparing the resulting bits with the transmitted pseudorandom bits, the software performs the bit error tests.
The specification error tests (linktest) show that the models had good specification and that additional statistically significant regressors could only be found by chance (Table 4).
The findings of the interobserver error testing suggest the identification of three dimensional traits using only written descriptions and two dimensional photographs for comparison may be inadequate.
Shown in Table 2, the type I error tests indicate that the Wilcoxon 2-sample rank sum test was marginally anticonservative.
Writing for the court, Chief Justice William H. Rehnquist agreed that the "plain error" test was the correct one.
After the statistical error test, it is seen that the higher-degree models perform better with lowest RMSE values.
The estimated false discovery rate (FDR) of the local pooled error test was calculated using the BH approach.
We tested the models using the regression specification error test (RESET test).
Differential expression estimates were computed using the adjusted Local Pooled Error test in the package 'LPEadj' [50].
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CEO of Professional Science Editing for Scientists @ prosciediting.com