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
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:51:y:2022:i:5:p:1514-1521
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DOI: 10.1080/03610926.2020.1771368
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