The article[14] examined the error of estimating autocorrelation and the article[15] linked the variation with sampling rate and refined it in the form of mean-square error.
Cadesky et al. [ 7], in their subsequent analysis, examined the error patterns that suggested poor emotion recognition among delinquent participants.
We also examined the error at locus 16 (E libraries) and found that it was caused by an error in primer design.
We manually examined all identified hits for a specific family of proteins (the protein kinases) and examined the error rate and bias in our automated processing.
Given MRP-ML's particularly poor accuracy on the sparse scaffold datasets, we examined the error rates in the source trees to see if the problem was due to poor source trees.
Via a variety of examples, we illustrate the efficiency and accuracy of the proposed scheme by examining the errors in different norms and providing the rates of convergence of the method.
This work investigates the behavior of a mixture in which many coupled irreversible consecutive first order reactions occur and examines the errors involved in representing it as a pseudo ternary system.
Retrospective replacement of manually entered data may also afford further opportunities to examine the errors in manually entered data.
