Publisher review:moutlier1 - Detection of Outlier in Multivariate Samples Test 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.Inputs:X - multivariate data matrix. alpha - significance level (default = 0.05). Output:- Table of outliers detected in a multivariate sample Requirements: ยท MATLAB Release: R14
moutlier1 is a Matlab script for Statistics and Probability scripts design by Antonio Trujillo-Ortiz.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris