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Optimal Repeated Measurements for Two Treatment Designs with Dependent Observations: The Case of Compound Symmetry

Department of Accounting and Finance, School of Business, Economics and Social Sciences, University of West Attica, 12244 Egaleo, Greece
Mathematics 2019, 7(4), 378; https://doi.org/10.3390/math7040378
Received: 18 February 2019 / Revised: 9 April 2019 / Accepted: 13 April 2019 / Published: 25 April 2019
(This article belongs to the Special Issue Applied and Computational Statistics)
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PDF [208 KB, uploaded 28 April 2019]

Abstract

In this paper, we construct optimal repeated measurement designs of two treatments for estimating direct effects, and we examine the case of compound symmetry dependency. We present the model and the design that minimizes the variance of the estimated difference of the two treatments. The optimal designs with dependent observations in a compound symmetry model are the same as in the case of independent observations. View Full-Text
Keywords: repeated measurement designs; compound symmetry repeated measurement designs; compound symmetry
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Chalikias, M.S. Optimal Repeated Measurements for Two Treatment Designs with Dependent Observations: The Case of Compound Symmetry. Mathematics 2019, 7, 378.

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