1994
DOI: 10.1111/j.2517-6161.1994.tb01988.x
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A Modification of a Method for the Detection of Outliers in Multivariate Samples

Abstract: SUMMARY We modify a method for identifying outliers in multivariate samples proposed by Hadi. A simulation study shows that this modification controls the size of the test, leads to substantially improved power and is more effective in dealing with the masking and swamping problems.

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Cited by 290 publications
(212 citation statements)
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“…This indicates that the linking of the individual and firm data is incomplete. Second, we remove some potentially influential outliers that we detected by using the method proposed by Hadi (1992Hadi ( , 1994. The method is useful for finding multiple outliers in multivariate data.…”
Section: Data and Variablesmentioning
confidence: 99%
“…This indicates that the linking of the individual and firm data is incomplete. Second, we remove some potentially influential outliers that we detected by using the method proposed by Hadi (1992Hadi ( , 1994. The method is useful for finding multiple outliers in multivariate data.…”
Section: Data and Variablesmentioning
confidence: 99%
“…We also excluded institutions without regional accreditation and those that are non-degree-granting (i.e., grant only certificates). Finally, we used the procedure recommended by Hadi (1994) to identify outliers, and eliminated three institutions with improbably high values for instructional expenditures. 5 The final sample contains 915 community colleges.…”
Section: Dataset and Variablesmentioning
confidence: 99%
“…Outliers have been eliminated using Hadi's method(Hadi 1992(Hadi , 1994.19 A two-sided (parametric bootstrap) test of β war = β allp yields a p = 0.00167.…”
mentioning
confidence: 99%