Sentence examples for errors in the estimation from inspiring English sources

Conditioning on the confounding variables accounts for an increase in residual variance that is due to possible errors in the estimation of model parameters, i.e. the estimate of residual variance will increase in magnitude the further the values of the confounding factors are from the control mean.

The developed algorithm can detect errors in the estimation of the variant allele frequencies of somatic mutations, which cannot be correctly estimated because of the admixture of normal cells in the tumor sample.

The removal of variation can be understood as additive errors in the estimation of normalization factors.

Possible sources of errors in the estimation procedure are identified and quantified.

This is possibly due to errors in the estimation of the reduction in the energy of eddies.

To this aim a crash modification factor (CMF) has to be applied and errors in the estimation of benefits are directly reflected in the reliability of BCA.

These differences from the reference AM 1.5 solar spectrum lead to errors in the estimation of collector thermal and electrical performance.

This assumption of linearity can lead to errors in the estimation of the BOLD response, especially for rapid event-related fMRI studies.

The QSSA can cause errors in the estimation of effective dynamics for systems where the difference in timescales between the "fast" and "slow" variables is not so pronounced.

For example, using a model in which H is linearly related to D30 produces considerable errors in the estimation of H and thus a vegetation distribution that is very similar to the bathtub distribution (see Methods section for model details and Supplementary Fig. 1 for results).

This explains, at least partially, the lack of reproducibility found in transcriptomics studies, especially for the detection of changes in gene expression of small-to-medium magnitude (up to 2-fold), because variation of this size is more likely to be distorted by errors in the estimation of normalization factors.