On the Difference between the Classical and Inverse Methods of Calibration
Shein‐Chung Chow and
Jun Shao
Journal of the Royal Statistical Society Series C, 1990, vol. 39, issue 2, 219-228
Abstract:
The difference between the classical and the inverse least squares methods in the problem of calibrating an instrument is studied. We examine the probability that the ratio of the two estimates differs from unity by more than a specified small constant. The results show that this probability increases as the absolute value of the ratio of the regression slope and the standard deviation of the error decreases. Methods of estimating this probability are proposed. An example from the US pharmaceutical industry concerning potency assay is presented.
Date: 1990
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2307/2347761
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:39:y:1990:i:2:p:219-228
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 ().