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Four-Point, 2D, Free-Ranging, IMSPE-Optimal, Twin-Point Designs
Methodology · Submitted 6 Oct 2015
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim We report the discovery of a set of four-point, two-factor, free-ranging, putatively IMSPE-optimal designs with a pair of twin points, in the statistical design of computer experiments, under Gaussian-process, fixed-Gaussian-covariance parameter, and zero-nugget assumptions.
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The abstract, sentence by sentence
We report the discovery of a set of four-point, two-factor, free-ranging, putatively IMSPE-optimal designs with a pair of twin points, in the statistical design of computer experiments, under Gaussian-process, fixed-Gaussian-covariance parameter, and zero-nugget assumptions. We conjecture this is the set of free-ranging, twin-point designs with the smallest number of degrees of freedom.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We report the discovery of a set of four-point, two-factor, free-ranging, putatively IMSPE-optimal designs with a pair of twin points, in the statistical design of computer experiments, under Gaussian-process, fixed-Gaussian-covariance parameter, and zero-nugget assumptions. | contribution 0.55 | 0.94 | 0.68 | asserted 0.66 |
| s1 | We conjecture this is the set of free-ranging, twin-point designs with the smallest number of degrees of freedom. | interpretation 0.88 | 0.40 | 0.30 | speculative 1.00 |
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The paper
Original abstract
We report the discovery of a set of four-point, two-factor, free-ranging, putatively IMSPE-optimal designs with a pair of twin points, in the statistical design of computer experiments, under Gaussian-process, fixed-Gaussian-covariance parameter, and zero-nugget assumptions. We conjecture this is the set of free-ranging, twin-point designs with the smallest number of degrees of freedom.
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