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These individual observations, which included many extreme values, were omitted.
Only steady values were considered and extreme values were omitted based on Bayesian algorithms.
Conventionally, such extreme values are omitted from assessment of biomonitoring data sets (when UFR data are available) (Santonen et al. 2014).
In situations where responses are over inflated at extremes (ceiling effects), it is particularly useful because one can attempt to model extreme values rather than omitting them or considering them as outliers.
In our case, this was the N 0,σ 2), with randomly chosen but not too extreme values of σ 2. For notational ease, the hat will be omitted in the following.
We removed suspect data and extreme values from the original monitor records; monitors with very little data were omitted altogether.
However, as one horse (Colic_5) had extreme values with high numbers of VPCs (Table 1), the calculations were repeated omitting this horse, which resulted in no significant linear association between VPCs regressed on either sodium (P = 0.20) or chloride (P = 0.73).
The extreme values were 1.8%and7.5%5%.
Some extreme values have been excluded after failing validation tests.
Avoids unrealistic, extreme values at the edges of the domain.
And then, I will find the extreme values of theta.
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CEO of Professional Science Editing for Scientists @ prosciediting.com