Sentence examples for much the estimation from inspiring English sources

This trend suggests that, in some cases, completely eliminating many markers of supposedly zero effect did not hamper much the estimation of the fewer "true" marker effects, as was previously hypothesized from results obtained using the LASSO models.

The percentages of DNA transposons and retrotransposons were 0.4 and 2.7, respectively, suggesting that the assembly process did not affect so much the estimation of DNA transposons and retrotransposons in the Pinctada genome.

Second, the high PP imputation accuracy helped only the genetic relationship inference, but not much the estimations of heterozygosity, inbreeding coefficient and genetic differentiation.

Since much of the estimation error is due to the time-frequency mask, in further experiments such a masking error was used as the single basis of the uncertainty measure.

From the estimated parameters we know that the transmission coefficient β0 is much larger than the estimation for heterosexual transmission [ 14] and general high-risk population [ 28].

However, the TC enhancement of the Au nanofluids gradually exhibits non-linear increment with the increment of volumetric fraction when the temperature is higher than 60°C and is much higher than the estimation of the Maxwell model.

We observed that the mean residual error after the ICP registration optimization was always comparable with the laser scanner measurement error, which is much lower than the estimation errors of our proposed N-points congruent sets (NPCS) registration algorithm.

All these unexpected responses from university students (n = 15) were excluded (because excluding Prompt 1 leaves only another prompt, which does not much contribute to the estimation), whereas only responses to Prompt 1 were excluded from the external group (n = 4).

If these parameters are increased as much as possible, the estimation accuracy can be made comparable to that of the exhaustive search.

"Without such systems, too much energy is spent on the estimation, and debating estimates, of mortality than actually addressing the problems and monitoring progress.

GAMLSS showed a much better fit regarding the estimation of risk factors effects on transformed and untransformed BMI data than common GLMs with respect to the generalized Akaike information criterion.