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Even if a parameter is formally identified and there is a unique optimal parameter estimate, estimation may be problematic.
Therefore, an approach in which lactation yield is first estimated and subsequently used for breeding value estimation may be more appropriate.
Performance estimation may be unreliable because of the natural limitations of estimating the true performance of the dataset.
Logistic regression or the proportional hazards model can also be used to estimate the prevalence ratio, but this is not straightforward and estimation may be intractable in the presence of many covariates (Thompson et al. 1998).
Consequently the pose estimation may be more accurate in some directions and contain unavoidable ambiguities.
The β-metric estimation may be deduced from α-metric assessments (6).
Additionally, assessment of LV diastolic properties and LV filling pressures estimation may be of use.
In addition, it could be argued that instant tag population estimation may be subject to errors.
If the interval of sending probe packets is small, more accurate estimation may be obtained.
In such cases, using nonparametric methods for estimation may be advantageous.
Thus a significant increase in accuracy of the parameter estimation may be obtained by a suitable choice of experimental conditions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com