document: Identifying multivariate discordant observations : a computer-intensive approach The problem of identifying multiple outliers in a multivariate normal sample is approached via successive testing using P-values rather than tabled critical values . Caroni and Prescott -LRB- Appl . Statist . 41 , p. 355 , 1992 -RRB- proposed a generalization of the EDR-ESD procedure of Rosner -LRB- Technometrics , 25 , 1983 -RRB- -RRB- . Venter and Viljoen -LRB- Comput . Statist . Data Anal . 29 , p. 261 , 1999 -RRB- introduced a computer intensive method to identify outliers in a univariate outlier situation . We now generalize this method to the multivariate outlier situation and compare this new procedure with that of Caroni and Prescott -LRB- Appl . Statist . 4 , p. 355 , 1992 -RRB-
doc_bio_tags: O B I I O O O O O O O O B I O O B I I O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: multivariate discordant observations multiple outliers multivariate normal sample tabled critical values univariate outlier multivariate outlier
abstractive_keyphrases: computer-intensive approach p-values data analysis edr-ehd procedure stepwise testing approach