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2019 Optimal experimental design that minimizes the width of simultaneous confidence bands
Satoshi Kuriki, Henry P. Wynn
Electron. J. Statist. 13(1): 1099-1134 (2019). DOI: 10.1214/19-EJS1546

Abstract

We propose an optimal experimental design for a curvilinear regression model that minimizes the band-width of simultaneous confidence bands. Simultaneous confidence bands for curvilinear regression are constructed by evaluating the volume of a tube about a curve that is defined as a trajectory of a regression basis vector (Naiman, 1986). The proposed criterion is constructed based on the volume of a tube, and the corresponding optimal design that minimizes the volume of tube is referred to as the tube-volume optimal (TV-optimal) design. For Fourier and weighted polynomial regressions, the problem is formalized as one of minimization over the cone of Hankel positive definite matrices, and the criterion to minimize is expressed as an elliptic integral. We show that the Möbius group keeps our problem invariant, and hence, minimization can be conducted over cross-sections of orbits. We demonstrate that for the weighted polynomial regression and the Fourier regression with three bases, the tube-volume optimal design forms an orbit of the Möbius group containing D-optimal designs as representative elements.

Citation

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Satoshi Kuriki. Henry P. Wynn. "Optimal experimental design that minimizes the width of simultaneous confidence bands." Electron. J. Statist. 13 (1) 1099 - 1134, 2019. https://doi.org/10.1214/19-EJS1546

Information

Received: 1 October 2018; Published: 2019
First available in Project Euclid: 5 April 2019

zbMATH: 07056147
MathSciNet: MR3935845
Digital Object Identifier: 10.1214/19-EJS1546

Subjects:
Primary: 62K05

JOURNAL ARTICLE
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Vol.13 • No. 1 • 2019
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