Exact(1)
Fit of the LF using the multivariate time series model is found more robust and realistic.
Similar(59)
By using the multivariate interpolation, the computational time of the solving algorithm is reduced.
The aim of this work is to extend the comparison of survival at multiple time points, using the multivariate permutation approach originally introduced by Pesarin [ 4].
Missing data were multiple times imputed, using the 'Multivariate Imputation by Chained Equations' (MICE) procedure [ 13, 14], that runs under the statistical program R version 2.5.0 [ 15].
When we use the PAA_ERR method on the multivariate time series, we take all the variables as a whole into consideration, that is, we use PAA to divide all variables into segments, if the value of overall fitting error e total of a segment is greater than the threshold value on all the variables, then reprocess the segment, until the e total is less than threshold value.
Multivariograms can be used to summarise time variations in multiple analytes and highlight the multivariate time autocorrelation aspects of these analytes.
However, none of the studies analysed the time series of the patients using a multivariate time series approach.
We use the multivariate control charts in the detection task.
We use the multivariate Epanechinikov kernel [32], given by (10).
Structural response data recorded at multiple locations are combined using a multivariate time delay embedding in order to reconstruct the structure's dynamical attractor.
In this article, it was shown that how the fitting of signal strength data series used in multivariate time series may present advantages compared with other signal propagation models.
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