moutlier1 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : Freeware
CreatedCreated : Sep 13, 2007
Size downloadDownloads : 2
Program licensing
Thank you for voting...

This test is based on the Wilks'method (1963) ...

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
Demands:
• MATLAB Release: R14

moutlier1 1.0 scripting tags: function, squared, outlier, statistics, mahalanobis, moutlier1, multivariate, distance, matlab moutlier, matrix, moutlier statistics, statistics probability, test. What is new in moutlier1 1.0 software script? - Unable to find moutlier1 1.0 news. What is improvements are expecting? Newly-made moutlier1 1.1 will be downloaded from here. You may download directly. Please write the reviews of the moutlier1. License limitations are unspecified.