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However, the access probability of the binomial algorithm for each slot is different, where both the p-persistent-based model and the non-p-persistent-based model cannot be used for an analysis.
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The estimates are based on an exact binomial algorithm (Sneyd, 1984) that can account for grains with any number of tracks, including zero track grains.
Significant peaks were then identified using the Zero Inflated Negative Binomial Algorithm (ZINBA)56.
Overall performance comparisons based on the AUC and CAUC indicators at false alarm rates less than 0.1 found the 14-day HMM provided the best outbreak detection performance, with the area under the receiver operator characteristic curve being significantly greater than the EARS C3 and 7-day negative binomial cusum algorithms for all AUC and CAUC comparisons.
The 95% confidence interval and p-values resulted from the binomial test for each case are given in the table.
We have performed two-tailed binomial test for each pair of homoeologous genes differing in expression.
To accommodate this phenomenon we use a different binomial distribution for each position within the reads.
The standard errors and the confidence intervals are estimated, by default, under a binomial assumption for each haplotype frequency estimate.
Dendrogram information includes a breakdown of the categories present in the cluster, as well as the enrichment P-values, calculated using the Binomial proportion test, for each category in the selected cluster.
The exact binomial confidence interval for each group was calculated.
Table 2 shows the result of the negative binomial regression analysis for each influenza season.
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