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Next, we will separately describe how nested sampling and coprime sampling estimate the autocorrelation function.
If N1 = P and N2 = Q, it is obvious that the nested sampling estimate a larger number of N than coprime sampling.
In this case, the mean Mendelian sampling estimate and the bias of the cohort of selected sires were not significantly different from zero.
In contrast, the mean Mendelian sampling estimate and the bias were significantly different from zero, true reliability decreased and MSE increased, when genomic pre-selection of sires was applied (GPS population) but not accounted for in the evaluation (GPS_no scenario).
The 84% coverage figure is a sampling estimate derived from assessing the exact coverage of 26.6 Mb of BAC clone sequence from ENCODE target regions to this assembly, resulting in a higher level of coverage across these regions than an estimated genome average.
In the CONTROL population, the EBV of YS were unbiased since all the selection candidates were included in the BLUP evaluation (Table 3): both the mean Mendelian sampling estimate and the mean difference between true and estimated breeding values were not significantly different from zero.
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Figure 4 Coprime sampling estimated autocorrelation.
Figure 3 Nested sampling estimated autocorrelation.
Figure 12 Coprime sampling estimated autocorrelation of the QPSK signal, when P = 7, Q = 11.
Based on NEISS stratified national sampling estimates, over 350,000 children ≤5 years of age were injured on slides from 2002 to 2015.
Design-based distance sampling estimates of abundance of elephants and apes varied considerably between management units (Tables 3 & 4).
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