Sentence examples for mixture error rate from inspiring English sources

Thus, the previous capture recapture model permitted baits to have different FDRs: in addition to a null model with a uniform FDR, a scaled error rate model reflected mass balance between true positives and false positives, and a two-component mixture error rate model assumed a mixture of 'good' baits and 'bad' baits.

However they did not report the explicit relationship between the trial size mixtures and error rates as we do (Table  1).

The experimental results show that face expert designed using Two-Dimensional Linear Discriminate Analysis and speech expert using Linear Prediction Cepstral Coefficients as feature extractor and Gaussian Mixture Model as opinion generator with 16 mixture will provide a Half Total Error Rate of 1.2%.

Due to the complexity of PCR optimization, the risk of contaminant amplification, the presence of known or unknown PCR inhibitors in reaction mixtures, and the inherent replication error rate, the potential for misdiagnosis when using PCR based diagnostic methodologies is significant [15], [16].

Similar to the results demonstrated by others [ 8, 14, 17], the usually-used asymptotic mixture distributions such as the 0.50 0.50 and 0.65 0.35 mixtures cannot maintain the type I error rate correctly at the nominal significance level.

On the other hand, the score test is sometimes slightly conservative, especially when the sample size is relatively small (e.g., 400 and 600); the two tests respectively based on the 0.50 0.50 and 0.65 0.35 mixtures cannot control the type I error rate correctly regardless of the sample size and the number of random effects, and are much more conservative than the score test.

For instance, the type I error rate estimated from the 0.50 0.50 mixture is conservative and the type I error rate from the 0.65 0.35 mixture is liberal, and the incorrect control of the two mixtures does not improve with the increasing sample size.

But here only the results of the LRT are valid and believable because the two mixtures cannot correctly control the type I error rate as demonstrated.

Using an artificial mixture of known pea and Sclerotinia ESTs, we found the error rate using the BLAST method was significantly lower than the triplet nucleotide frequencies method (Table 7).

influence of the used number of mixtures and the used number of training iterations on the GMM gender recognition error rate;   3.

The simulations show that the permutation-based LRT can effectively control the type I error rate, while the score test is sometimes slightly conservative and the tests based on mixtures cannot maintain the type I error rate.