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For collecting feed samples, a model of a grain probe was constructed [ 12].
The AUC of this DRS model is statistically significantly different from that of single marker measures from fasting blood samples, a model using fasting glucose and insulin, anthropometric measures, and a clinical index, whereas it is equivalent to 2-h glucose (from OGTT) and 2-h insulin (P = 0.18 and P = 0.70, respectively).
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To detect possible outliers in the set of samples a model-based clustering approach using the R package mclust [ 33] was performed.
With Swedish restaurants like Madsen in South Kensington and and Garbo in Marylebone proving trendy if not entirely aimed at the consumer on a budget, Ikea's food could give Britons a cost-price opportunity to sample a model culinary landscape.
An empirical distribution of T χ 2 is obtained by generating bootstrap samples from a model and fitting this model to the samples, as described above.
An empirical distribution of T dw is obtained by generating bootstrap samples from a model and fitting this model to the samples, as described above.
In Figure 1A, scanning electron micrographs of typical NWs from both samples and a model NW can be seen.
To address relative bias we wanted to compare differences between the read distributions obtained for each sample, rather than comparing each sample to a model distribution.
Based on the analyses of collected samples, a hydration model was used to determine the combined salts in the wastewater.
In the recursive addition of the features, for training samples, a classification model is one of the best methods.
The inferential framework applied under probability sampling when a model is used to predict AGB using the ALS data is known as design-based model-assisted (MA) estimation.
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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.
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CEO of Professional Science Editing for Scientists @ prosciediting.com