Feasible blocked multi-factor designs of unequal block sizes

Xiaodi Wang, Xueping Chen and Yingshan Zhang

Statistics & Probability Letters, 2018, vol. 135, issue C, 102-109

Abstract: A block design is called feasible if all the factor effects in it are estimable. This paper studies the design structures of feasible block designs when the block sizes are unequal. Based on a necessary and sufficient condition, we find two structure features which respectively lead to unfeasible and feasible designs. According to these results, an effective way to find feasible designs is provided.

Keywords: Feasible; Unequal block sizes; Orthogonal meeting balanced (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:135:y:2018:i:c:p:102-109

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DOI: 10.1016/j.spl.2017.12.001

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