Confidence sets for optimal factor levels of a response surface

Wan, Fang and Liu, Wei and Bretz, Frank and Han, Yang (2016) Confidence sets for optimal factor levels of a response surface. Biometrics, 72 (4). pp. 1285-1293. ISSN 0006-341X

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Abstract

Construction of confidence sets for the optimal factor levels is an important topic in response surfaces methodology. In Wan et al. (2015), an exact inline image confidence set has been provided for a maximum or minimum point (i.e., an optimal factor level) of a univariate polynomial function in a given interval. In this article, the method has been extended to construct an exact inline image confidence set for the optimal factor levels of response surfaces. The construction method is readily applied to many parametric and semiparametric regression models involving a quadratic function. A conservative confidence set has been provided as an intermediate step in the construction of the exact confidence set. Two examples are given to illustrate the application of the confidence sets. The comparison between confidence sets indicates that our exact confidence set is better than the only other confidence set available in the statistical literature that guarantees the inline image confidence level.

Item Type:
Journal Article
Journal or Publication Title:
Biometrics
Additional Information:
This is the peer reviewed version of the following article:Wan, F., Liu, W., Bretz, F. and Han, Y. (2016), Confidence sets for optimal factor levels of a response surface. Biom, 72: 1285–1293. doi:10.1111/biom.12500 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/biom.12500/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700
Subjects:
ID Code:
79027
Deposited By:
Deposited On:
11 Apr 2016 11:08
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Oct 2020 04:40