Scheffé-type Confidence Region for the Calibration Line
DOI:
https://doi.org/10.17713/ajs.v35i2&3.388Abstract
Analyzed is the comparative calibration problem in the case when linear relationship is assumed between two considered measuring devices. The method deriving the approximate confidence region for the unknown parameters of the calibration line based on estimation of the calibration line via replicated errors-in-variables model is given inWimmer et al. (2004). Essential point in this approach is the use of the F-approximation of the distribution of the F-statistic suggested by Kenward and Roger (1997). Moreover,
in Wimmer and Witkovský (2005) such a calibration procedure is conducted which enables proper interval estimates of several unknown values based on the next independent measurement results obtained by the less precise measuring device.
The present contribution is a continuation of work presented in Wimmer et al. (2004) and Wimmer and Witkovský (2005). Derived is the Scheffé-type confidence region for the (whole) calibration line. This enables to construct the interval estimators for the multiple-use calibration case.
References
Brown, P. J. (1993). Measurement, Regression, and Calibration. Oxford: Clarendon Press.
Eisenhart, C. (1939). The interpretation of certain regression methods and their use in biological and industrial reserach. Annals of Mathematical Statistics, 10, 162-186.
Kenward, M. G., and Roger, J. H. (1997). Small sample inference for fixed effects from restricted maximum likelihood. Biometrics, 53, 983-997.
Krutchkoff, R. G. (1967). Classical and inverse methods of calibration. Technometrics, 9, 425-439.
Kubáček, L., and Kubáčková, L. (2000). Statistics and Metrology. (In Czech). Olomouc: Univerzita Palackého v Olomouci.
Scheffé, H. (1973). A statistical theory of calibration. The Annals of Statistics, 1, 1-37.
Wimmer, G., andWitkovský, V. (2005). Univariate linear calibration via error in variables model. In Preprints Series, 16/2005. Mathematical Institute of the Slovak Academy of Sciences, Bratislava, http://www.mat.savba.sk.
Wimmer, G., Witkovský, V., and Savin, A. (2004). Confidence region for parameters in replicated errors in variables model. In J. Antoch (Ed.), COMPSTAT. Proceedings in Computational Statistics. 16th Symposium Held in Prague (p. 1987-1994). Heidelberg: Physica-Verlag.
Downloads
Published
Issue
Section
License
The Austrian Journal of Statistics publish open access articles under the terms of the Creative Commons Attribution (CC BY) License.
The Creative Commons Attribution License (CC-BY) allows users to copy, distribute and transmit an article, adapt the article and make commercial use of the article. The CC BY license permits commercial and non-commercial re-use of an open access article, as long as the author is properly attributed.
Copyright on any research article published by the Austrian Journal of Statistics is retained by the author(s). Authors grant the Austrian Journal of Statistics a license to publish the article and identify itself as the original publisher. Authors also grant any third party the right to use the article freely as long as its original authors, citation details and publisher are identified.
Manuscripts should be unpublished and not be under consideration for publication elsewhere. By submitting an article, the author(s) certify that the article is their original work, that they have the right to submit the article for publication, and that they can grant the above license.