2000
DOI: 10.1016/s0167-9473(99)00101-2
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BACON: blocked adaptive computationally efficient outlier nominators

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Cited by 444 publications
(277 citation statements)
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“…2 We think it is important not to, a priori, drop what may seem to be outliers without direct evidence. In this paper, outliers are only dropped when experiencing problems in running regressions, by using the BACON procedure in STATA (Billor et al 2000). 3 We found a significant number of firms were allocated the wrong firm ID marker in the original data, which we corrected using company name, detailed location and 5-digit industry SIC codes.…”
mentioning
confidence: 99%
“…2 We think it is important not to, a priori, drop what may seem to be outliers without direct evidence. In this paper, outliers are only dropped when experiencing problems in running regressions, by using the BACON procedure in STATA (Billor et al 2000). 3 We found a significant number of firms were allocated the wrong firm ID marker in the original data, which we corrected using company name, detailed location and 5-digit industry SIC codes.…”
mentioning
confidence: 99%
“…The great advantage of using HAT, compared to other methods, is the joint identification of OUTs, IPs, and OUT+IPs. Billor et al (2000), Habshah et al (2009), Nurunnabi, Imon, and Nasser (2011), and Nurunnabi, Imon, and Nasser (2016 used various methods of IP identification and observed that IPs as undesirable values should be characterised with caution, because the removal of these values may worsen the analysed adjustment.…”
Section: Discussionmentioning
confidence: 99%
“…Essa exclusão teve impacto significativo no ano e no setor de onde foi retirado. Apesar de persistirem 15 observações com valores extremos (Bacon outliers, p = 0,05) decidiu-se pela sua manutenção, dado que a eliminação destes produzia outros outliers (Billor, Hadi & Velleman, 2000).…”
Section: Estudo Empíricounclassified