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We used moving average methods to exclude short-term motion artifacts in the analyzed data (moving average window, 5 s).
By using an unassembled scaffold version of the O. mykiss genome, we used kernel smoothing average methods to identify regions enriched for markers that deviated from the rest of the genome.
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Data analysis applying a moving average method to the TEIS statistics is used to reflect the effects of antecedent flow conditions on fish diversity.
To deal with the variation of the p value, this paper proposes a new approach, titled as p(t -linear average met -linearestimaverage ground thermethodrametors as westimatehe p values athehe different samplingrounds.
Next, we combine the fuzzy theory with Markov progress in the prediction model, and use the continuous three-step average method to reduce the errors caused by the one-step transition.
Here we use a weighted average method to computing the overall similarity.
Moreover, we also need to apply the sample average method to tackle the value of α − E ( ζ k i ).
The weighted average method to estimating a portfolio's overall risk and return may be a throwback in time, but it is conservative and does eliminate errors from inaccurate asset class covariance or correlation forecasts.
Hence, it might be more appropriate to use the reliability-weighted average method instead of a simple weighted average method to build the indicator for overall trends in market sentiments.
The wavelet transform and discrete cosine transform were used for feature extraction while the features were augmented with the ordered weighted average method to enhance the performance.
For the original series x i, considering the disturbance of interannual scale variation, first apply the moving average method to establish a 5-year moving average series y i ; t i represents the corresponding time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com