A central limit theorem for marginally coupled designs

Publication date: Available online 20 November 2018Source: Statistics & Probability LettersAuthor(s): Sumin Wang, Dongying Wang, Fasheng SunAbstractIn this paper, we derive a central limit theorem for marginally coupled designs that are intended for computer experiments with both qualitative and quantitative factors. This result is useful for establishing confidence intervals for estimators in various statistical applications.
Source: Statistics and Probability Letters - Category: Statistics Source Type: research
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