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For the IBD genomic model, within-family variation dominated estimation of genetic variance, and thus reducing family sizes to give room for more families led to more imprecise estimates of genetic variance.
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Several factors that dominate estimation performance are detected through this experimental model estimation.
Interestingly, most of this variance is not velocity-related, and we show that the two low-variance PCs are the ones that dominate motion estimation.
This model is applicable when the CSIT error is dominated by channel estimation error.
When δ=0.02, the BER performance is dominated by channel estimation errors, such that the Doppler diversity gain is very small.
When δ is small, e.g., δ<0.05 for (f_{_{text {D}}} T_{s} = 0.01), increasing δ slightly yields significant performance gains because the performance is dominated by channel estimation errors.
Based on these considerations, and the findings of similar work discussed above, we assumed subjects quickly estimated the likelihood of the variance, and that the dynamics of the learning process were dominated by the estimation of the prior.
Wildlife abundance estimation is dominated by methods based on two modes of data acquisition: visual observations and physical capture (trapping).
The complexity of the considered estimation algorithms is dominated by that of the BCJR algorithm.
However, the predictions generated by the model could be faulty if the input term of the model is wrongly added, and then the error of estimations could be dominated by the imperfect predictions.
Therefore, for fixed random components σ k η and σ k v, the estimation accuracy will be dominated by the message of the reliable motion model as the state equation is with smaller Δ k ; the estimation accuracy will be dominated by the message of the reliable observation as the state equation is with larger Δ k.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com