Causal inference from strip-plot designs in a potential outcomes framework

Fatemah A. Alqallaf, S. Huda and Rahul Mukerjee

Statistics & Probability Letters, 2019, vol. 149, issue C, 55-62

Abstract: A randomization-based theory of causal inference from strip-plot designs is developed. For any treatment contrast, we propose an unbiased estimator, work out its sampling variance, and obtain a conservative variance estimator which is shown to enjoy a minimaxity property.

Keywords: Between-block additivity; Conservative variance estimator; Minimaxity; Treatment contrast; Unbiased estimator (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1016/j.spl.2019.01.027

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