Sentence examples for error can be applied from inspiring English sources

Our method for correcting logistic regression results for genotyping error can be applied to any study where misclassification is known to be present in genotypes (or other types two or three level categorical data), and where validation data are available, or where informed estimates of probable misclassification can be made.

Consequently, a BCH code capable of correcting up to errors can be applied to detect and correct such few errors per block at a small loss in performance.

It is observed from the figure that the SVM forecast error has significant auto-correlation at the first several lags, which suggests that the historical forecast errors can be applied as the explanatory variables when predicting the error distribution.

Next, Unequal error protection can be applied to both levels of intra- and intermessage.

Our analysis shows how path-following techniques for non-smooth systems can be used in order to determine the optimal control parameters in terms of energy expenditure due to the control signal and transient behavior of the control error, which can be applied to a broad range of engineering problems.

The new method was applied on 34 ESP oil wells in a North African oil field and lead to very reliable estimation results, which have about a +/−10% relative error, and can be applied to all fluid types and under any production conditions.

Systematic error correction can be applied as an endpoint calculation or it can be computed on the fly, for example, in interactive protein folding gaming exercises [56].

Human error theory can be applied to non-adherence, allowing us to establish the underlying factors contributing to individuals not taking medication and enabling us to find appropriate patient centred solutions [ 11].

Fiona is able to correct substitution, insertion and deletion errors and can be applied to any sequencing technology.

Furthermore we assume the error correcting code can be applied such that its error correcting properties can be fully exploited.

However, the Monte Carlo error propagation approach can be applied to estimate the percent contribution of each variable (DBH and H) measurement error to the error of biomass estimate as performed by Magalhães and Seifert (2015b) and Chave et al. (2004) or using Bayesian approach as done by Molto et al. (2012).