Sentence examples for multivariate outlier using from inspiring English sources

Therefore, detection of multivariate outlier using MCD estimator could be a good solution.

The items were checked for multivariate outlier using assessment normality and the value of skewness for all items was satisfied (−2 to 2) [ 13].

No univariate or multivariate outlier was detected using z scores and Mahalanobis distance (max = 20.309), respectively.

Truncated robust multivariate outlier detection (TRMOD) was used to identify thresholds that define outliers for peak serum ALT and bilirubin levels.

If the test is significant, a multivariate outlier detection method is used to select the most likely interval for a QTL.

Third, apply calibrated parametric multivariate outlier detection to a subset of the resulting quality principal components.

In calculating the moving average, outliers were excluded based on the results of the multivariate outlier detection method [ 32, 33].

Many methods have been proposed for multivariate outlier detection.

Dang and Serfling [3] introduced nonparametric multivariate outlier identifiers based on multivariate depth functions.

Outlier detection techniques can be categorized, based on the number of variables or dimensions used to define the outliers, into two categories; univariate outlier detection techniques; where the outliers are detected for only one variable at a time, and the other category is the multivariate outlier detection where more than one variable is taken into account while defining the outliers.

The basis for multivariate outlier detection is based on the Mahalanobis distance and outlier detection methods have been suggested for numerous applications in the literature.