Sentence examples for model when estimating from inspiring English sources

First, we evaluated the accuracy of our prediction model when estimating the jobs' execution time.

The results of this extended model when estimating it by the three-step GMM methodology are presented in Table 8.

The purpose of the paper is to demonstrate that the delta algorithm is a more accurate, unbiased, and a faster alternative than the state-of-the-art ARIMA model when estimating the impact of a network event for a CSP.

The FastIBD method also includes a LD model when estimating IBD.

In our analyses we included both additive and dominance variance components in the model when estimating relatedness from the marker data or from the pedigree.

IUTA has several advantages over existing tools: first, IUTA directly incorporates the uncertainty of the underlying DNA fragments corresponding to the paired-end reads into the RNA-Seq data model when estimating the isoform usage.

Within most studies that have been performed on this topic, it appears that any ensemble-based model often achieves better results than those estimated with a single model designed using the base classifier of the ensemble, but it is not uncommon that the results of the former model do not outperform those of a single model when estimated with any other classifier.

This method reduces many of the issues associated with cross-sectional regression models when estimating the safety effects of infrastructure-related design features.

The empirical examples demonstrate the importance of addressing endogenous explanatory variables in latent regressions for Item Response Theory (IRT) models when estimating causal differences in the latent variable or examining differential item functioning.

The robust Poisson models are more robust to outliers compared to the log-binomial models when estimating relative risks or risk ratios for common binary outcomes.

The robust Poisson models are more robust (or less sensitive) to outliers compared to the log-binomial models when estimating relative risks or risk ratios for common binary outcomes.