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Similar very low recoveries are observed in both genotypes after 15 min. n = 8 independent assays for each series, error bars = s.d.
The trends reported in the text and summarized in Table 1 were estimated employing a method that accounts for residual serial correlation and time series error, and subbasin trends may not sum linearly [ Johnston and DiNardo, 1997].
Or the first Series error caused by an outfielder's confusion because the ball hit the roof.
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This article studies parametric component and nonparametric component estimators in a semiparametric regression model with linear time series errors; their r-th mean consistency and complete consistency are obtained under suitable conditions.
After specifying a model for { R k, t }, we have a regression model with time series errors, that can be fit using standard maximum likelihood methods.
In Akron, Model 3 has higher sensitivities than Model 1, suggesting that the time series errors are less relevant in outbreak signature detection for the test data.
The plots of the sample autocorrelation and partial autocorrelations functions of the time series innovations lie inside the dotted confidence bounds for a white noise process (i.e., are samples of uncorrelated time series errors).
We selected the order of the SARIMA model for the time series errors, { X k, t }, as defined by (4) in the Appendix using standard identification techniques based on the sample autocorrelation and partial autocorrelation (e.g., [ 18]).
As a result, the equation required no time-series error term.
Assay sensitivity and intra-series errors were 0.05 ng/ml (0.8 nmol/l) and 8.0% respectively for P4.
The EF-estimates are subject to a series of error sources, including measurement errors and function errors.
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