Sentence examples for reduced sampling error from inspiring English sources

Parceling has the added benefits of requiring fewer model parameter estimates, reduced sampling error, and decreasing the likelihood of correlated residuals between items (Little et al. 2002).

Because the frequencies of individual SNPs come with binomial variability, we sought to estimate the local AJ proportions with reduced sampling error by combining neighbouring SNPs in a sliding window analysis (on the assumption that the real AJ allele frequency was constant over this scale).

Extending the satellite data over 6 years (2001 2006) reduced sampling errors.

Applying different stock identification techniques on the same specimen reduces sampling error when interpreting results.

We investigate the use of Monte Carlo algorithms to improve the sampling of the weighted trajectories and thus reduce sampling error in a simulation of quantum dynamics.

Examples are given to show how increasing sample size reduces sampling error; increasing the fineness of grind and using larger subsamples reduces sample preparation error, and increasing the number of aliquots analyzed and using improved technology (HPLC versus TLC) decreases analytical error.

This study investigates whether load estimates and resultant power to detect trends can be enhanced by (i) modelling the error structure so that temporal correlation can be better quantified, (ii) making use of predictive variables, and (iii) by identifying an efficient and feasible sampling strategy that may be used to reduce sampling error.

This approach also has added benefits in that it requires fewer parameter estimates, reduces sampling error, and decreases the likelihood of correlated residuals (Little et al. 2002) compared to item-level analyses.

Other sampling approaches may reduce sampling error by design (e.g. stratification) or increase sampling error (e.g. cluster sampling).

To account for this variability, methods based on estimating parameters over "windows" have been successfully used to reduce sampling error while retaining true signal in studies aimed at identifying evidence of selection in populations [ 2- 5].

The well-defined sampling design and prior estimation of sample size reduces sampling errors.