Sentence examples for model without fitting from inspiring English sources

Oxidation layer of Si substrate is about 330 nm, which is directly substituted into the model without fitting.

Using statistical mechanics, a random-binder model without fitting parameters, with genomic DNA sequence being the only input, we further validate that the nonconsensus nucleotide triplet code constitutes a key signature providing PIC binding specificity in the human genome.

There was good agreement in estimates of polygenic and residual variances for the 12 studied traits between the ASReml analysis and the Bayesian model without fitting SNP effects.

The estimate of polygenic variance decreased, on average, 50% by fitting SNP effects in the genome-wise model compared to the model without fitting SNP effect.

In addition to estimating trait polygenic and residual variances by ASReml, as described previously, they were also estimated using the Bayesian model without fitting SNP effects.

The estimates of polygenic and residual variances using the Bayesian model without fitting SNP effects were on average 4% and 6% different, respectively, from those obtained by ASReml (Table 5).

First, our initial analysis of these data revealed that the cerebellar time-activity curve (TAC) could not be explained by the two-tissue compartment model (2TCM) without fitting of the fractional blood volume.

That is to say, given the observation history, quite reasonable results can be obtained for short-term forecasts by using the ETAS model with some typical parameters, without fitting the model to the past seismicity.

The effect of influenza B on workplace absenteeism (and hours lost) could not be estimated separately for each season due to limited statistical power and limited impact of influenza B on workplace absenteeism, so that fluBpp was used as one approach to account for the effects of influenza B in the model without over fitting.

The four scenarios were a natural spline with intercept fitted to all studies (scenario A), a natural spline without intercept fitted to all studies (scenario B), a natural spline with intercept fitted to the cohort studies (scenario C), and a linear model without intercept fitted to all studies (scenario D1) or only the cohort studies (scenario D2; Figure 5).

We also calculated 1) the likelihood ratio χ, which compares the adequacy of a model with covariates fitted to a set of data to that of the null model (without covariates) fitted to the same dataset; and 2) the Akaike information criterion (AIC), which allows for comparisons between models (nested or not); the smaller the value of the statistic, the better the model fits the data (17).