Sentence examples for substantial amount of error from inspiring English sources

Unfortunately, this relationship can produce substantial amount of error as according to Black himself (Black et al.

Unfortunately, this relationship can produce substantial amount of error as according to Black himself (Black 1956): (1) Mean monthly values were calculated from the maximum numbers of years and (2) different instruments have been used in different stations and no attempts have been made to reduce these instruments to a common standard.

The effect of genotypic error is well known and there is a substantial amount of error checking of genotypes that usually occurs before the GWAS is performed.

In contrast to previous findings (10– 12), our study demonstrates that secondary data sources harbor substantial amounts of error, including undercounts, overcounts, and geospatial inaccuracies.

However, since the estimate of each family innovation parameter is based on a small number of observations, the estimated variance would contain a substantial amount of estimation error and thus be biased upward.

The tree reconstruction from the true partition with known breakpoints actually revealed a substantial amount of systematic error from MrBayes.

The model eliminates a substantial amount of measurement error that would have been incurred if estimates had been derived based on exposure levels collected at a central site monitor, due to the large amount of spatial heterogeneity in BC levels.

It is possible that prior longitudinal studies may have introduced a substantial amount of Type II error into their results by having failed to account for the natural process of recidivism decay.

Most interestingly, with these parameters, the correction algorithm reduces a substantial amount of the offset error found in the uncorrected data.

The low level of test retest reliability for many items shows the presence of substantial amounts of measurement error.

Although 11% obtaining a different result on the two occasions may sound a high rate, it shows that even correlations [reliabilities] as high as 0.9 still have substantial amounts of measurement error associated with them, particularly around a cut mark.