Sentence examples for multivariate outliers there from inspiring English sources

In HR analyses (excluding two multivariate outliers), there was no significant moderating role of interoception, Δ F < 1.

According to Field (2009) and Hooper, Coughlan, and Mullen (2008), the data met guidelines for univariate normality and multivariate normality, and there were no multivariate outliers.

Mahalanobis distance values indicated that there were no multivariate outliers among the independent variables (i.e. no values greater that the chi-squared value of 37.65) [ 37].

There were no multivariate outliers and influential data points as all cases had Mahalanobis values below 25 and Cook's D values below one and were included in final analyses [ 16].

Finally, there were no univariate or multivariate outliers, as assessed by z scores and Mahalanobis distance, respectively.

In addition to these empirical descriptive statistics, we find a few methodologies to separate multivariate outliers in massive data sets.

We construct a lemniscate model for errors to find multivariate outliers with the Mahalanobis distance.

The Projection Congruent Subset (PCS) is a new method for finding multivariate outliers.

Numerous methods have been suggested to detect the multivariate outliers.

Suppose, we have a set of multivariate data and we wish to test the multivariate outliers.

This paper generalizes the Tietjen Moore test for multivariate data to detect the multivariate outliers.