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Peter Hull

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Case report Open access Aug 2026

Optimal Experimental Design and Estimation when Potential Outcomes are Bounded

I study the optimal design and analysis of randomized experiments for estimating finite-population average treatment effects when potential outcomes are known to be bounded, as with binary outcomes. Among all assignment mechanisms and a broad class of affine estimators, worst-case mean-squared error (MSE) is minimized...

Peter Hull · 0 citations

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