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In the considered estimation structure, each agent of the formation carries an estimate of the entire formation state.
Finally, we considered estimation of animal-level prevalence based on pooled samples.
Khan et al. (1989) and Kulasekara (1994) considered estimation of this distribution.
The complexity of the considered estimation algorithms is dominated by that of the BCJR algorithm.
We considered estimation of infection prevalence based on use of a single diagnostic test applied to a single herd with binomial and hypergeometric sampling.
In the case of pilot-based estimation, the complexity of the considered estimation algorithms is roughly proportional to the number K p of pilot symbols.
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These estimations are considered estimations of abstract magnitude because the participants are explicitly given a magnitude to place on the number line; no recall is required.
They consider estimation legitimate, because they were taught it in school.
We consider estimation of main effects using two-level fractional factorial designs under the baseline parameterization.
We consider estimation in a high-dimensional linear model with strongly correlated variables.
In this article, we consider estimation of VEcol for colonisation with Streptococcus pneumoniae (the pneumococcus).
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