Statistical calibration and exact one-sided simultaneous tolerance intervals for polynomial regression

Han, Yang and Liu, Wei and Bretz, Frank and Wan, Fang and Yang, Ping (2016) Statistical calibration and exact one-sided simultaneous tolerance intervals for polynomial regression. Journal of Statistical Planning and Inference, 168. pp. 90-96. ISSN 0378-3758

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Abstract

Statistical calibration using linear regression is a useful statistical tool having many applications. Calibration for infinitely many future y-values requires the construction of simultaneous tolerance intervals (STI’s). As calibration often involves only two variables x and y and polynomial regression is probably the most frequently used model for relating y with x, construction of STI’s for polynomial regression plays a key role in statistical calibration for infinitely many future y-values. The only exact STI’s published in the statistical literature are provided by Mee et al. (1991) and Odeh and Mee (1990). But they are for a multiple linear regression model, in which the covariates are assumed to have no functional relationships. When applied to polynomial regression, the resultant STI’s are conservative. In this paper, one-sided exact STI’s have been constructed for a polynomial regression model over any given interval. The available computer program allows the exact methods developed in this paper to be implemented easily. Real examples are given for illustration.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Statistical Planning and Inference
Additional Information:
This is the author’s version of a work that was accepted for publication in Journal of Statistical Planning and Inference. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Statistical Planning and Inference, 168, 2016 DOI: 10.1016/j.jspi.2015.07.005
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
ID Code:
79047
Deposited By:
Deposited On:
13 Apr 2016 10:38
Refereed?:
Yes
Published?:
Published
Last Modified:
25 Nov 2020 03:40