Sentence examples for classes of error from inspiring English sources

The definition of adaptive synchronization of multiple chaotic systems with unknown parameters is given, and then based on the idea of adaptive control method, adaptive laws are derived to estimate the unknown parameters, and nonlinear adaptive controllers are developed to ensure the asymptotical stability of two classes of error systems.

Obviously, there are many other classes of error that creep into microarray data.

Pedant is MS Windows software for estimating locus-specific maximum likelihood rates of these two classes of error.

Division of errors into allelic dropouts and false alleles is useful not only because allelic dropouts are typically more frequent than false alleles (Broquet and Petit, 2004), but also because the two classes of error affect analyses in fundamentally different ways (Wang, 2004; Hadfield et al. 2006).

It seems obvious that at the level at which individuals write new programs, a change of language can eliminate whole classes of errors, or make them possible.

A real convolution code in systematic form [16] is used to compute parity values associated with the processing outputs as shown in Figure 2. Certain classes of errors occurring anywhere in the overall system including the parity generation and regeneration subsystems are easily detected.

Errors in SNP array data can in principle confound an analysis of NCO because certain classes of errors can mimic these events (e.g., if a child is truly heterozygous but is called homozygous, or if a parent is homozygous but called heterozygous).

It is also asymptotically normal for a wide class of error distributions and can be used to model data with skewed distributions [ 42, 43].

This class of error has little effect on differences between groups within a single measurement period, but can cause apparent changes between measurement periods.

Unlike estimating a single error rate, estimating ɛ1 and ɛ2 is not a simple exercise in counting errors because when both repeat genotypes are error prone the class of error responsible for a mismatch can be ambiguous.

We will then have greater confidence in genotypes AB and CD than in CC, because only CC can have been affected by allelic dropout (assuming only one error per genotype), and attributing AB or CD to error would require us to invoke a less likely class of error.