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The empirical distribution of estimations and the stability of MLP and LR were studied by re-sampling methods.
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This ensures that the covariance matrix accurately represents the distribution of estimation errors without increasing the dimension of the state vector.
The probability distribution of estimation from the Turkstra's rule is derived, which permits the assessment of its performance for various correlated responses as compared to existing combination rules.
It can be seen if we find the statistical property of φ, we will get the distribution of estimation of Δn.
The basic idea of PF is that the probability distribution of estimation is approximated with discrete random particles which are assigned to different weights, and it could be represented as (26) z ^ 0 : n MAP = arg max z 0 : n p z 0 : n | y 0 : n ≈ arg max z 0 : n ∑ i = 1 I w n i δ z 0 : n − z 0 : n i (26).
The probability distributions of estimations from the Turkstra׳s rule and its variants are derived, which permit the assessment of their performance for various correlated responses through analytical formulations rather than response time history samples.
The spatiotemporal distributions of estimation errors from UM1 and UM2 were similar.
In particular, we used this part of the distribution for estimation of the number of reliably detected specific TFBSs (called, see Definitions & Methods).
This section presents these maps and discusses the spatial distribution of the estimations.
Theoretically, reputation is a distribution of opinions, estimations, or evaluations about an entity in an interest group (Bromley 2001).
For the CX3CR1 T280M polymorphism, visual inspection of the funnel plot) displays symmetrical distribution of OR estimations, suggesting no publication bias.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com