Comments on “Detecting Outliers in Gamma Distribution” by M. Jabbari Nooghabi et al. (2010)
M. Magdalena Lucini and
Alejandro C. Frery
Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 11, 5223-5227
Abstract:
This note shows that the results presented by Jabbari Nooghabi et al (2010) do not hold in all expected cases. With this, the technique proposed by Kumar and Lalitha (2012) for detecting upper outliers in Gamma samples is also not valid.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2015.1099669 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:46:y:2017:i:11:p:5223-5227
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2015.1099669
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().