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It is difficult to establish a precise error prediction model of inventory reconciliation using first principles.
We first established a precise age model (error within ±1 year in average) beginning in 1920 A.D. on the basis of varve counting fine-tuned by correlation between event layers with historical floods.
Servicers must correct errors within 30 days.
Standard errors within parentheses.
Standard errors within brackets.
If they are not precise enough errors will occur, but they can be fixed by "debugging" them.
In PISA 2003, different methods of obtaining person estimates with precise standard errors were applied.
Bootstrapping with 500 replications was used to generate more precise standard errors than conventional OLS regression.
In principle, more precise prediction errors receive greater gain (cf. Hohwy, 2013).
The mean CV was found to be 9.0% with standard error of the mean (SEM) 1.2%, indicating that the UT-dPCR assay is precise within about 10%.
However, the precise 50% methylation (within 0.1% error) of Region III despite full methylation or unmethylation of CpGs in surrounding regions, and the activation of the maternal allele of IGF2 concurrent with the loss of methylation of Region III in 5-azacytidine treated neonatal fibroblasts, strongly suggest that Region III comprises an allele-specific DMR essential to PSGE of IGF2 in opossums.
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