Updated 23 Oct 2006
This test is based on the Wilks'method (1963) designed for detection of a single outlier from a normal multivariate sample and approaching the maximun squared Mahalanobis distance to a F distribution function by the Yang and Lee (1987) formulation. A significative squared Mahalanobis distance means an outlier. To test the outlier, this function calls to the zipped ACR m-function.
X - multivariate data matrix.
alpha - significance level (default = 0.05).
- Table of outliers detected in a multivariate sample.
Antonio Trujillo-Ortiz (2023). moutlier1 (https://www.mathworks.com/matlabcentral/fileexchange/12252-moutlier1), MATLAB Central File Exchange. Retrieved .
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