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In [4], Markov-based sample data was reflected on the networked control systems, in which the sampling-induced delay index was modeled by a Markov chain.
And then, the SVM fire risk assessment model trained with the sample data was used for the fire risk assessment of a sports architecture.
Hence, the sample data was suited for factor analysis.
Blood sample data was adopted from the latest visit or the admission at the stroke recurrence.
The Kaiser-Meyer-Olkin (KMO) statistic of the sample data was 0.891.
The sample data was divided into two sub-samples one from 1970–1989 and the other from 1990–2010.
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Soil sample data were obtained from the NCSS Characterization Database on 10 July 2013.
All related count tables, classifications and sample data is provided as phyloseq objects in the Supplementary Data.
Existing sample data are important for digital soil mapping.
The sample data are analyzed using linear and quantile regressions.
Sample data were only accepted when falling within established detection parameters, which include a minimum of 3 positive droplets per sample and 10,000 accepted droplets per well.
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