Hearing Impairment and the Log‐Normal Distribution

R. J. Bowater, J. B. Copas, O. A. Machado and A. C. Davis

Journal of the Royal Statistical Society Series C, 1996, vol. 45, issue 2, 203-217

Abstract: Data on hearing impairment are studied by using a three‐parameter log‐normal distribution, all of whose parameters depend on covariates. The fitting algorithm is an extension of generalized linear modelling. Questions for research include the estimation of a base‐line distribution of hearing threshold levels for an ‘unexposed’ population and the development of a model that describes how the distribution changes with age and exposure to noise. The model gives a good description of data from a recent national survey.

Date: 1996
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2307/2986155

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:bla:jorssc:v:45:y:1996:i:2:p:203-217

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().