Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1279
Title: Causal inference from strip-plot designs in a potential outcomes framework
Authors: Alqallaf, Fatemah A.
Huda, Shahariar
Mukerjee, Rahul
Keywords: Between-block additivity
Conservative variance estimator
Minimaxity
Treatment contrast
Unbiased estimator
Issue Date: 2019
Publisher: SCOPUS
Statistics and Probability Letters
Elsevier B.V.
Series/Report no.: 149
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.
Description: Alqallaf, Fatemah A., Department of Statistics and OR, Faculty of Science, Kuwait University, P.O. Box-5969, Safat, 13060, Kuwait; Huda, Shahariar, Department of Statistics and OR, Faculty of Science, Kuwait University, P.O. Box-5969, Safat, 13060, Kuwait; Mukerjee, Rahul, Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata, 700104, India
ISSN/ISBN - 01677152
pp.55-62
DOI - 10.1016/j.spl.2019.01.027
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061457322&doi=10.1016%2fj.spl.2019.01.027&partnerID=40&md5=b8dde9ac4f7c9dbdda8c31787d831756
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1279
Appears in Collections:Operations Management

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