EconPapers    
Economics at your fingertips  
 

Log transformations: What not to expect when you’re expecting

William C. Bridges, Neil J. Calkin, Catherine M. Kenyon and Matthew J. Saltzman

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 5, 1514-1521

Abstract: We note that log transformations can be problematic when the variance of the underlying distribution is other than very small. We illustrate these problems in terms of lognormal sampling issues, interval estimation of the mean, and comparison of lognormal and logbinomial distributions with similar means and variances.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1771368 (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:51:y:2022:i:5:p:1514-1521

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2020.1771368

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:51:y:2022:i:5:p:1514-1521