Rohlf (1975, Biometrics 31, 93-101) proposed a method of detecting outliers in multivariate data by testing the largest edge of the minimum spanning tree. It is shown here that tests against the gamma distribution are extremely liberal. Furthermore, results depend on the correlation structure of the
β¦ LIBER β¦
On Rohf's Generalization of the Gap Test for the Detection of Multivariate Outliers
β Scribed by William D. Warde, James M Norton and F. James Rohlf
- Book ID
- 124904539
- Publisher
- John Wiley and Sons
- Year
- 1977
- Tongue
- English
- Weight
- 418 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0006-341X
- DOI
- 10.2307/2529479
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