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A further advanced statistical approach, central composite design, found the optimum levels of the screened variables as follows (g l−1): glycerol 17.6, glutamic acid 59.6; yeast extract 2.7; K2.7O4 2.7.
The advanced statistical approach can flexibly examine effects of temperature on mortality.
An advanced statistical approach was adopted to deal with missing data other than the outcome variable to correct for potential biases or overestimation of diagnostic values and multiple comparisons.
The system extracts features from voice recordings and considers an advanced statistical approach for pattern recognition.
(ii) We present an advanced statistical approach to evaluate density dependent growth dynamics of trees planted in form of the Nelder design, which considers spatio-temporal autocorrelation.
The MCMC method is an advanced statistical approach, which is well suited for the analysis of complex multiparametric non-linear models.
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An increasing number of digital records, big data analyses and advanced statistical approaches [ 33] facilitate this endeavor.
The richness of BRFS data could offer such information [ 5], although, so far, rarely has it been properly addressed with sufficiently advanced statistical approaches.
Advanced statistical approaches such as random forests may be helpful in identifying interacting genes in GWA studies, as demonstrated with respect to rheumatoid arthritis susceptibility [23].
When transferring function solely based on protein sequences, more sophisticated approaches, e.g. using advanced statistical frameworks [ 9], are needed to ensure high prediction quality.
The latter type of approaches (hardware-heavy) could be divided into two types of approaches: beamforming-based techniques and advanced statistical techniques.
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