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moutlier1 1.0
File ID: 83000






moutlier1 1.0
Download moutlier1 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 7
Submit Rating:
moutlier1 1.0 Description
Description: 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.

License: Shareware

Related: mfunction, inputs, Matrix, zipped, calls, significative, means, Alpha, significance, outliers

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 7



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